SEARCH ENGINEERING RESEARCH PAPERS

Image retrieval research paper 2014




Content based Image Retrieval with Graphical Processing Unit
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Content-based means that the search analyzes the contents of the image rather than the meta data such as colours, shapes, textures, or any other information that can be derived from the image itself. The GPU is a powerful graphics engine and a highly parallel

Noise-Resistant Image Retrieval
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ABSTRACT We present a content-based image retrieval method which is particularly designed for noisy images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by novel features which are

Remote Sensing Image Retrieval with Combined Features Of Salient Region
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ABSTRACT Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from

SOML: Sparse online metric learning with application to image retrieval
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Abstract Image similarity search plays a key role in many multimedia applications, where multimedia data (such as images and videos) are usually represented in highdimensional feature space. In this paper, we propose a novel Sparse Online Metric Learning (SOML)

Implementation of Content Base Image Retrieval Using Clustering Technique
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ABSTRACT The purpose of this report is to describe our research and solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution and the accomplishments achieved. Due

MIRS: Museum Image Retrieval System using Most Appropriate Low-Level Feature Descriptors.
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Abstract The main component of Content Based Image Retrieval is a feature extraction, where automatically extracted a low-level features (color, texture and shape). In this paper, several features extraction methods are explored to examine their effectiveness in

Content Based Image Retrieval Using Extended Local Tetra Patterns
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Multi modal relevance feedback for medical image retrieval
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Abstract Medical image retrieval can assist physicians in finding information supporting their diagnosis. Systems that allow searching for medical images need to provide tools for quick and easy navigation and query refinement as the time for information search is often

Contour Points based P2P Algorithm for Shape Matching and Image Retrieval
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ABSTRACT Based on the extracted contours of objects from images, one point to point (P2P) method is proposed for shape matching and image retrieval. Taking contour of one object as reference, contour of another object is transformed to reach their best match, during which

An Extension to the Local Binary Patterns for Image Retrieval
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Abstract. In this paper, we propose an extension to the local binary patterns for image retrieval. We focus on the spatial distribution information in images, and present a spatial- distribution-information-enhanced local pattern for content-based image retrieval. Differing

A study on Content-based Image Retrieval System Using Relevance Feedback
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Abstract. As digital images quickly increase in number, adopting effective content-based image retrieval (CBIR) algorithm to retrieval the desired images is essential nowadays with the presence of a huge amount of digital images, the present paper introduces an

Face Image Retrieval Using Pose Specific Set Sparse Feature Representation
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ABSTRACT There are largely available consumer photos are available in our life, among those a big percentage of photos are photos with human faces. Thus content based face image retrieval is an emerging technology for many applications. A new method for

Multi-Modal Image Retrieval for Complex Queries using Small Codes.
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Abstract We propose a unified framework for image retrieval capable of handling complex and descriptive queries of multiple modalities in a scalable manner. A novel aspect of our approach is that it supports query specification in terms of objects, attributes and

OCRM: Optimal Cost Region Matching Similarity Measure for Region Based Image Retrieval
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Abstract Content Based Image Retrieval (CBIR) has been the most significant area in the applications of Pattern recognition and Computer Vision for the last three decades. However, there are many open problems left unresolved. Among these, one of the current

Fuzzy Exponential Recurrent Neural Networks for Gray-scale Image Retrieval
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T can be interpreted as a fuzzy set on a finite universe of discourse. The eight gray- scale images can be stored in the FERNNs obtained by considering the similarity measures SG, SE, and SH. They can also be stored in the MERNNs obtained by considering K={0, 1/

A Review on Different Content Based Image Retrieval Techniques Using High Level Semantic Features
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ABSTRACT The significance of content based image retrieval system (CBIR) depends on the adopted features to represent images in the knowledge base. Using low-level features cannot give satisfactory results in many cases recovery; especially when high-level Content based image retrieval has gained considerable attention in today's scenario as a useful tool in many applications; texture is one of them. In this paper, we focus on texture based image retrieval in compressed domain using compressive sensing with the help of

An Experimental Study on Content Based Image Retrieval Based On Number of Clusters Using Hierarchical Clustering Algorithm.
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Abstract Nowadays the content based image retrieval (CBIR) is becoming a source of exact and fast retrieval. CBIR presents challenges in indexing, accessing of image data and how end systems are evaluated. Data clustering is an unsupervised method for extraction

A Content-based Image Retrieval System Based on Polar Raster Edge Sampling Signature
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ABSTRACT Content Based Image Retrieval (CBIR) is used to effectively retrieve required images from fairly large databases. CBIR extracts images that are relevant to the given query image, based on the features extracted from the contents of the image. Most of the

Application of the Fuzzy Logic in Content Based Image Retrieval using Color Feature
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ABSTRACT Content Based Image Retrieval (CBIR) is a set of techniques for retrieving semantically-relevant images from an image database based on automatically-derived image features. Generally, in CBIR systems, the visual features (color, texture, and shape)

Content Based Image Retrieval Using Sobel's Edge Detection Algorithm
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ABSTRACT This paper presents an efficient Content Based Image Retrieval (CBIR) system using Sobel's edge detection algorithm. Content Based Image Retrieval (CBIR) is a process to retrieve a stored image from database by supplying an image as query instead of text.

Supervised Hashing for Image Retrieval via Image Representation Learning
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Supervised Hashing for Image Retrieval via Image Representation Learning Rongkai Xia, Yan Pan, Cong Liu (Sun Yat-Sen University) Hanjiang Lai, Shuicheng Yan (National University of Singapore) Page 2. Finding Similar Images

An Efficient Trademark Image Retrieval using Combination of Shape Descriptor and Salience Features
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Abstract Trademark carries the prestigious values for a particular company so it is very important to distinguish it from the similar context trademark. In this research paper, we propose an efficient Trademark Image Retrieval (TIR) model which is a branch of Content

Content Based Image Retrieval: A Review Paper
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Abstract Content-based image retrieval (CBIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. The term" content" in this context might refer to colors, shapes, textures

Image Retrieval using Global and Local Image Features and DPGM Model.
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Abstract In this paper, we propose new image retrieval system using global and local image features and the Dirichlet process Gaussian mixture model (DPGMM). First, we considered global and local image features. Global features are color histogram, wavelet coefficients,

Cloud Model and Tolerance Granular Space-based Image Retrieval Methods
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ABSTRACT In the existing tolerance granular space models, grid points in each layer are established only taking space position into account, which ignore uncertainties of image texture, such as randomness, fuzziness and relevance. As a matter of fact, it is very

Color and Local Maximum Edge Patterns Histogram for Content Based Image Retrieval
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ABSTRACT In this paper, HSV color local maximum edge binary patterns (LMEBP) histogram and LMEBP joint histogram are integrated for content based image retrieval (CBIR). The local HSV region of image is represented by LMEBP, which are evaluated by taking into

Towards Content-Based Image Retrieval: From Computer Generated Features to Semantic Descriptions of Liver CT Scans
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Abstract. The rapid increase of CT scans and the limited number of radiologists present a unique opportunity for computer-based radiological Content-Based Image Retrieval (CBIR) systems. However, the current structure of the clinical diagnosis reports presents

Heuristic and Intermediate Features Based Image Retrieval
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Abstract In this paper, a new method for heuristics and intermediate features based image retrieval is proposed. Heuristic features are identified and directly stored into the database and easily retrieved also. An algorithm is used to convert low level features hue, saturation

Feature of Statistical Projection Algorithm-based Image Retrieval
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ABSTRACT In this paper, image retrieval method based on statistics and projection is presented. At first, images are transferred from the RGB color model to the HSI color model, then images are segmented into sub-images (or blocks) and extract the main hue and

The Enhanced Sketch based Image Retrieval using Semi-Supervised Biased Maximum Marginal Analysis
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Content-Based Image Retrieval (CBIR) because of its varied multimedia applications. CBIR is one of the most popular research areas of digital image processing. The goal of the CBIR is to extract the visual features of the image such as color, texture or shape. An attempt is

A Layout-Analysis Based System for Document Image Retrieval!
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Abstract. This paper presents new system for document image retrieval, based on layout- analysis. The system, that is well suited for commercial form retrieval, uses Radon Transform for layout description and Dynamic Time Warping for document image matching. The

Content Based Image Retrieval Based on Geometrical Features of Image
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ABSTRACT In recent years, with the rapid development of multimedia technology and computer networks, digital image capacity worldwide is growing at an alarming rate. Whether it is military or civilian facilities will have capacity equivalent to a day several

Efficient Image Retrieval Using Different Content Based Image Retrieval Methods: A Review
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ABSTRACT In this paper, we reviewed different methods used in Content-based image retrieval, to resolve the problem of efficient and similar digital image retrieval from large databases with high precision. Uses of different features like texture, color, shape have

Performance Analysis on Discrete Wavelet and Curvelet Transform in Histology Image Retrieval
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ABSTRACT Content Based Image Retrieval (CBIR) plays a major role in decision making related to clinical activities. CBIR systems differ by the way of extracting features. Many feature extraction methods such as Zernike moments, Tamura, Gabor Texture, Scale-

Scaling Manifold Ranking Based Image Retrieval
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ABSTRACT Manifold Ranking is a graph-based ranking algorithm being successfully applied to retrieve images from multimedia databases. Given a query image, Manifold Ranking computes the ranking scores of images in the database by exploiting the

A Review: Image Retrieval Using Web Multimedia Mining
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ABSTRACT Multimedia object include audio, video, Image, text etc. where image retrieve play very important role to find any kind of image information which use in business images, satellite images, medical images and so on. Web Multimedia mining is one kind of web

A Framework for Color Image Retrieval Using Full Range Gaussian Morkov Random Field Model and Multi-Class SVM Learning Approach
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ABSTRACT A content based image retrieval (CBIR) system for diverse collection of color images is proposed. The proposed image retrieval framework consists of Full Range Gaussian Markov Random Field (FRGMRF) model with Bayesian Approach (BA) for

An efficient parameters selection for object recognition based colour features in traffic image retrieval.
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ABSTRACT This paper proposes a novel technique for object identification and representation in complex traffic scene based on the colour features integrated with line detection techniques. Objects of interest (vehicles) are represented by using a Minimum Bound

Content based Image Retrieval: A Quantitative Comparison between Query by Color and Query by Texture
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ABSTRACT Effective and efficient image retrieval techniques have become the fast and active research area because of explosive use of digital images. User interaction in CBIR system consists of a query formation. The user has problems in declaration of a query with

Research on User-personalized Image Retrieval Method.
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ABSTRACT With the rapid expansion of information resources, the amount of image data in the network shows an explosive growth trend. The traditional search engines have not considered users' different interests; therefore image retrieval efficiency is reduced. To

Software Architectural Design for Image Retrieval System involving Data Streams and User Interactivity
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ABSTRACT In the process of software development, the role played by the software architect is substantial. It is the software architect who splits the entire application into different components, understands the functions performed by each component and should

Comparative Study on Content Based Image Retrieval With Various Approaches.
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ABSTRACT Content Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years and is still a demanding research topic in the field of Digital Image Processing. This paper starts with the introduction about CBIR and then we

CONTENT BASED IMAGE RETRIEVAL: CLASSIFICATION USING NEURAL NETWORKS.
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ABSTRACT In a content-based image retrieval system (CBIR), the main issue is to extract the image features that effectively represent the image contents in a database. Such an extraction requires a detailed evaluation of retrieval performance of image features. This

Multi-Resolution DBC Co-Occurrence Matrix for Texture Image Indexing and Retrieval
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ABSTRACT In this paper, a new image indexing and retrieval algorithm using multi-resolution directional binary code (DBC) co-occurrence matrix is proposed. DBC histogram captures only the patterns distribution in a texture while the spatial correlation between the pair of

Color Local Binary Patterns for Image Indexing and Retrieval
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ABSTRACT A new algorithm meant for content based image retrieval (CBIR) is presented in this paper. First the RGB (red, green, and blue) image is converted into HSV (hue, saturation, and value) image, then the H and S images are used for histogram calculation

Color and Rotated M-Band Dual Tree Complex Wavelet Transform Features for Image Retrieval
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ABSTRACT In this paper, a novel algorithm which integrates the RGB color histogram and texture features for content based image retrieval. A new set of twodimensional (2-D) M- band dual tree complex wavelet transform(M_band_DT_CWT) and rotated

Improved Image Retrieval with Color and Angle Representation
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ABSTRACT In this research, new ideas are proposed to enhance content-based image retrieval applications by representing colored images in terms of its colors and angles as a histogram describing the number of pixels with particular color located in specific angle,

Color Image Retrieval Based on Full Range Gaussian Markov Random Field Model
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ABSTRACT This paper proposes a novel method, based on Full Range Autoregressive (FRAR) model with Bayesian approach for color image retrieval. The color image is segmented into various regions according to its structure and nature. The segmented

CONTENT BASED IMAGE RETRIEVAL WITH SURF, SVM AND COLOR HISTOGRAM
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ABSTRACT In the paper, we present an efficient algorithm depend on SURF (Speeded up Robust Features), SVM and color histogram. This method applies the SURF algorithm in the detection and description for image features; first it applies the SURF feature detector in

Image Retrieval of Semantic Similarity Measure based on Probability-weighted.
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ABSTRACT For multi-level semantic structure, the asymmetry of similarity between semantic concepts, as well as the different correlation of semantics between the children nodes and father node, this dissertation proposed a novel similarity calculation method of image

Image Retrieval Based on Color, Shape, and Texture for Ornamental Leaf with Medicinal Functionality Images
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ABSTRACT This research is focusing on ornamental leaf with dual functionalities, which are ornamental and medicinal functionalities. However, only few people know about the medicinal functionality of this plant. In Indonesia, this plant is also easy to find because

Image retrieval based on the characteristics of concentric circular regions
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Page 1. Image retrieval based on the characteristics of concentric circular regions At present, the image retrieval tool has two kinds: one kind is senior semantic retrieval based on text, such as Yahoo, baidu etc.; another is based on the underlying content . The first kind, image One of the challenges in the development of a content-based image indexing and retrieval application is to achieve an efficient and robust indexing scheme. Color is a fundamental image feature used in content-based image retrieval (CBIR) systems. This paper proposes

Medical Image Retrieval using Fuzzy Connectedness Image Segmentation: A Web based System in Oracle
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ABSTRACT The Medical image database is growing day by day. There are various categories of medical images such as CT scan, X-Ray, Ultrasound, Pathology, MRI, Microscopy, etc. Physicians compare previous and current medical images associated with patients to

Radiographic medical image retrieval system for both organ and pathology level using bag of visual words
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ABSTRACT This research work is to develop an efficient and powerful medical image retrieval system to classify and search the radiographic medical images. It focuses on bag of visual words image representation and a similarity matching technique to represent,

Image Retrieval using Re-Ranking Algorithms
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ABSTRACT Our objective is to improve the performance of keyword based image search engines by reranking their original results. Present search engines face some limitations. First is that, many irrelevant results are obtained along with the demanded images.

Content-Based Image Retrieval (CBIR) in Medical Systems
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ABSTRACT In the last decade, the application of content-based image retrieval (CBIR) system has raised in the medical field such as medical imaging, crime prevention. The first content- based image retrieval system was introduced in 1990s. The content-based image retrieval

Diversification in an image retrieval system based on text and image processing
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ABSTRACT In this paper we present an image retrieval system created within the research project MUCKE (Multimedia and User Credibility Knowledge Extraction), a CHIST-ERA research project where UAIC1 is one of the partners2. Our discussion in this work will

Tag Relevance for Social Image Retrieval in Accordance with Neighbor Voting Algorithm
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ABSTRACT Social image retrieval is important for exploiting the increasing amounts of amateur- tagged multimedia such as Flickr images. Intuitively, if different persons label similar images using the same tags, these tags are likely to reflect objective aspects of the visual content.

Analysis of Unsupervised Content-based Image Retrieval by Fusing the Image Features
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ABSTRACT In Content-Based Image Retrieval (CBIR) systems, the visual contents of the images in the database are took out and represented by multi-dimensional characteristic vectors. A well known CBIR system that retrieves images by unsupervised method known

Color Histogram and DBC Co-Occurrence Matrix for Content Based Image Retrieval
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ABSTRACT This paper presents the integration of color histogram and DBC co-occurrence matrix for content based image retrieval. The exit DBC collect the directional edges which are calculated by applying the first-order derivatives in 0 , 45 , 90 and 135 directions.

A Comprehensive Survey of Modern Content Based Image Retrieval Techniques
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ABSTRACT The content based image retrieval (CBIR) is one of the most popular and heart favorite research areas of the digital image processing. All the existing image search tools, like Google, Bingo, Yahoo are based on textual annotation of images. In these tools, all

IMAGE RETRIEVAL AND RE-RANKING TECHNIQUES-ASurvey
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ABSTRACT There is a huge amount of research work focusing on the searching, retrieval and re-ranking of images in the image database. The diverse and scattered work in this domain needs to be collected and organized for easy and quick reference.

Image Retrieval by Matching Sketches and Images
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ABSTRACT the proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problem that is the problem of searching for digital images in the large database. Content

A Survey on Effective Video Retrieval using Image Fuzzy Ontology.
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ABSTRACT In this paper a fuzzy basedapproach is used forEffective retrieval of video. Initially a video ispartitioned into framesand then we use fuzzylogic method in order to retrieve a video. Content based Video Retrieval (CBVR) involves the process for retrieving a set of

Content Based Image Retrieval for CT Images of Lungs
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ABSTRACT In this study, researchers present Content Based Image Retrieval (CBIR) System for Computed Tomography (CT) images of lungs. When a query image is given to the system, the system will retrieve the images which are similar to the query image from a Large number of images are embedded into web pages and it is difficult to map the semantics of the images using available text in documents. Retrieval systems are designed for ranking and retrieving images using various ranking mechanisms. These ranking

Content Based Image Retrieval Using Interactive Genetic Algorithm with Relevance Feedback Technique-Survey
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ABSTRACT In field of image processing and analysis Contentbased image retrieval is a very important problem as there is rapid growth in storing and capturing multimedia data with digital devices. Although extensive studies, conducted and image finding is desired from

LOCALIZED RGB COLOR HISTOGRAM FEATURE DESCRIPTOR FOR IMAGE RETRIEVAL.
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ABSTRACT This paper proposes a new feature descriptor, localized color descriptor for content based image retrieval (CBIR). The proposed method collects the local histograms from red (R), green (G) and blue (B) color spaces. These local histograms are collected by

Image Retrieval and Mobile Visual Location Recognition
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ABSTRACT Content-based image retrieval (CBIR) is one of the core computer vision techniques to the image retrieval problem. Nowadays, the explosion of database images and increasing consumer demand for real time image retrieval applications, such as

Study on Image Retrieval Technology Based on Digital Watermark.
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ABSTRACT With the rapid development of multimedia and network technologies, the image became an important source of obtaining information and it was a hot research topic how to retrieve the wanted information from many pictures. In order to effectively retrieve the

A GA-Based Fuzzy Recommender System for Region-Based Image Retrieval
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The emergence of digital cameras in recent years has led to an exponential increase in the amount of digital photographic images and the need for automatic image indexing and retrieval systems. In this paper, an efficient genetic algorithm-based image retrieval

An Approach to Content Based Image Retrieval Using Support Vector Machine
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IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Affiliated to FACULTY COUNCIL FOR UG AND PG STUDIES IN ENGINEERING AND TECHNOLGY Jadavpur University An Approach to Content Based Image Retrieval Using Support Vector

Efficient Item Image Retrieval System
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ABSTRACT Content based image retrieval system is a very effective means of searching and retrieving similar images from large database. This method is faster and easy to implement compare to text based image retrieval method. Ability to extract discriminative low level

Applying Genetic Algorithm for Optimizing the User Query in Image and Video Retrieval.
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ABSTRACT In an information retrieval system, the query can be made by user sketch. The new method presented here, optimizes the user sketch and applies the optimized query to retrieval the information. This optimization may be used in Content-Based Image Retrieval

Approaches and Trends in Content based Image Retrieval
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ABSTRACT Interest in research on content-based image retrieval has paved the way for a large number of new techniques and systems. Given a query images are retrieved which is voluminous in nature. The drawback is that the image data retrieved is not relevant and

Image Retrieval Using Certain Block Based Difference Of Inverse Probability And Certain Block Based Variation Of Local Correlation Coefficients Integrated
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Abstract Content Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medical images plays a vital role in saving mankind. Medical Content Based Image Retrieval (MCBIR) does not stop its work in displaying similar

Image Retrieval Using Combination of Texture and Shape Features
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ABSTRACT The purpose of this research paper is retrieval of images from the image database using Content Based Image retrieval (CBIR) technique. It uses a novel approach which is a combination of texture and shape features. The K-means clustering and Fuzzy C-means

An Image Retrieval Method Using Homogeneous Region and Relevance Feedback
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ABSTRACT Relevance feedback and region based image retrieval are two effective ways to improve accuracy in content-based image retrieval. In this paper, we propose a content- based image retrieval method using relevance feedback and homogeneous region. By

Researching on Kansei Engineering System for Product Image Survey and Retrieval
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Abstract The Kansei engineering system for product image survey and retrieval (PISR system) is developed based on the model of product image survey and retrieval by means of Kansei engineering. The system includes product image survey subsystem and product

Intelligent Image Retrieval Techniques: A Survey
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Abstract In the current era of digital communication, the use of digital images has increased for expressing, sharing and interpreting information. While working with digital images, quite often it is necessary to search for a specific image for a particular situation

Multiple Ranks Weighting Score for Microscopic Image Retrieval System
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ABSTRACT Content based medical images have become a major necessity with the growing retrieving Advancements. CBIR access to medical images for supporting clinical decision making has been proposed that would be ease to manage large number of image in the

Image Retrieval Based on Quad Chain Code and Standard Deviation
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ABSTRACT In this paper we present a new idea for image retrieval depending on Quad chain code and standard deviation. The proposed system consist of two stages, the first one is constructing a database of image training by dividing each image into number of blocks

A New Method for Image Retrieval
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Abstract We propose a new approach to learn the automatic image annotation for image retrieval. A generation model for the annotated images is formalized, and all the images are divided into different regions based on the visual features of the gray histograms. Giving a

Image Retrieval Method Based on Fusion of Edge Features and RGB Color Component.
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Abstract Construct an image retrieval method based on feature fusion of color features of RGB component and edge feature. The execution of this method is divided into the following steps: First, the original image is decomposed into three components images of RGB;

Content-based Image Retrieval with WISFC
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ABSTRACT In this paper, we propose Weighting Inter-class Separating Fuzzy Clustering (WISFC) algorithm and employ it to content-based image retrieval (CBIR). Firstly, the training data set is clustered by k-means algorithm. Then the output cluster centroid is taken as the

How to Do Diversification in an Image Retrieval System
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ABSTRACT MUCKE (Multimedia and User Credibility Knowledge Extraction) is a CHIST-ERA research project whose goal is to create an image retrieval system that takes into account available information from social networks. In this paper, we give a short overview of the

A Two-stage Method for Annotation-based Image Retrieval
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Abstract To improve the accuracy of image retrieval, a two-stage method for annotation- based image retrieval is proposed. In the approach, images are ranked using their attached text information at the first stage, and Content Based Image Retrieval (CBIR) is performed

Image Retrieval Using Speeded Up Robust Feature: An Effort to Improvement
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ABSTRACT Due to tremendous technological advancements, need of image information systems has became an important issue, since visual media requires large amounts of memory and computing power for processing and storage, there is a need to efficiently

Image-to-Image Retrieval with Similarity Measures
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ABSTRACT The most important thought of this project is to present competent, immediate, and accurate CBIR using simple and strong man machine interface by means of images. In other terms the aim is to locate content-based image features that are efficient enough to allow

Image Retrieval based on VA-File and Multi-Resolution BOW
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ABSTRACT By the virtue of BOF to describe high-dimensional data, in this article, we propose an effective retrieval strategy employing multi-resolution BOF to accelerate the match. The main idea is to improve the overall retrieval efficiency of BOF Descriptive Vector via the

ATTRIBUTE-ENHANCED SPARSE CODEWORDS AND INVERTED INDEXING FOR SCALABLE FACE IMAGE RETRIEVAL
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ABSTRACT Social networks have become popular due to its photo sharing facilities. People are interested to explore contents that contain images. Since internet has become a part of life people are interested in uploading images in it. Hence with the exponentially growing

Applying Content-Based Image Retrieval Techniques to Provide New Services for Tourism Industry
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The aim of this paper is to use the network and internet and also to apply the content based image retrieval techniques to provide new services for tourism industry. The

Accurate Image Retrieval System
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Because of the rapid deployment of office automation systems and digital image processing applications the reduction of necessary retrieval costs sounds like a much desirable idea. An approach to reach this goal is to use the CBIR methods. At this paper is a trial to recover

Content Based Image Retrieval Using Improved Radon Transform under Various Queries
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ABSTRACT Image Retrieval is very one of the biggest task in the recent years. It is widely used in many real time databases to retrieve related images in various fields like medical, military, online shopping etc. This paper offers with using radon transform followed by PCA and

SIMILAR AND CLASS BASED IMAGE RETRIEVAL USING HASH CODE
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ABSTRACT Image retrieval based on visual similarity has become an active research in recent years. For each and every image we create hash code by extracting the features of the image, here search is performed based on hamming distance. Unlike Euclidean metrics

image retrieval algortithm



Contour Points based P2P Algorithm for Shape Matching and Image Retrieval
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ABSTRACT Based on the extracted contours of objects from images, one point to point (P2P) method is proposed for shape matching and image retrieval. Taking contour of one object as reference, contour of another object is transformed to reach their best match, during which

Feature of Statistical Projection Algorithm-based Image Retrieval
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ABSTRACT In this paper, image retrieval method based on statistics and projection is presented. At first, images are transferred from the RGB color model to the HSI color model, then images are segmented into sub-images (or blocks) and extract the main hue and

An Experimental Study on Content Based Image Retrieval Based On Number of Clusters Using Hierarchical Clustering Algorithm.
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ABSTRACT Nowadays the content based image retrieval (CBIR) is becoming a source of exact and fast retrieval. CBIR presents challenges in indexing, accessing of image data and how end systems are evaluated. Data clustering is an unsupervised method for extraction

Content Based Image Retrieval Using Sobel's Edge Detection Algorithm
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ABSTRACT This paper presents an efficient Content Based Image Retrieval (CBIR) system using Sobel's edge detection algorithm. Content Based Image Retrieval (CBIR) is a process to retrieve a stored image from database by supplying an image as query instead of text.

Tag Relevance for Social Image Retrieval in Accordance with Neighbor Voting Algorithm
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ABSTRACT Social image retrieval is important for exploiting the increasing amounts of amateur- tagged multimedia such as Flickr images. Intuitively, if different persons label similar images using the same tags, these tags are likely to reflect objective aspects of the visual content.

Content Based Image Retrieval Using Interactive Genetic Algorithm with Relevance Feedback Technique-Survey
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ABSTRACT In field of image processing and analysis Contentbased image retrieval is a very important problem as there is rapid growth in storing and capturing multimedia data with digital devices. Although extensive studies, conducted and image finding is desired from

Applying Genetic Algorithm for Optimizing the User Query in Image and Video Retrieval.
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ABSTRACT In an information retrieval system, the query can be made by user sketch. The new method presented here, optimizes the user sketch and applies the optimized query to retrieval the information. This optimization may be used in Content-Based Image Retrieval

scalable face image retrieval



A Review on Scalable Face Image Retrieval based on Attributes Enhanced Sparse Code Words
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Abstract: Due to the exponential growth of the social media like facebook, flicker etc. photos of people became one of the highly interested area. Dealing with human faces are more challenging because most of the human faces are similar in the low level appearance.

ATTRIBUTE-ENHANCED SPARSE CODEWORDS AND INVERTED INDEXING FORSCALABLE FACE IMAGE RETRIEVAL
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Abstract:Social networks have become popular due to its photo sharing facilities. People are interested to explore contents that contain images. Since internet has become a part of life people are interested in uploading images in it. Hence with the exponentially growing

AESC Technique For Scalable Face Image Retrieval.
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Abstract:Now a day's photos with people are major interest of users. Thus, large scale content-based face image retrieval is an enabling technology. In this work, we aim to utilize automatically detected human face attributes that contains semantic cues of the face

Component-based LDA Face Descriptor for Image Retrieval.
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Abstract We present a component-based face descriptor with LDA (Linear Discriminant Analysis) and a simple pose classification. Our algorithm has been developed to deal with face image retrieval in huge database such as those in internet environments. Such Abstract This paper addresses the speed problem in human face image retrieval system from large database. A novel method based on wavelet transform and principal component analysis (PCA) is developed and presented. The computational load of the proposed

Face image retrieval by projection-based features
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ABSTRACT Face and fingerprint images have been used as an access control for the entry and exit of countries such as in Japan and America. The issues of storage space and computation are as important as the accuracy of verification or identification. This paper

Face-based image retrieval-one step toward object-based image retrieval
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Abstract In this paper we propose a method to retrieve images based on the persons shown. The method aims at retrieving from images showing groups of people those in which the same persons are depicted as in the query image. It is experimentally shown that this aim

Performance Comparison Of PCA, DWT-PCA And LWT-PCA For Face Image Retrieval
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ABSTRACT This paper compares the performance of face image retrieval system based on discrete wavelet transforms and Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using

Face Image retrieval with HSV color space using clustering techniques
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Abstract:The main objective of this paper is to classify the face images using HSV color features and an image retrieval system (CBIR) is presented which can retrieve facial images from the extracted facial features. The primary principle of CBIR in retrieving the face

Iconic visual queries for face image retrieval
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Abstract:We propose a user interaction technique for the fast and intuitive formation of visual queries for retrieving photos that have faces. A face icon is used to represent a face in a photo. A user forms an iconic sketch of the desired photo, by placing face icons on a

Performance Comparison of Face Recognition Algorithms based on face image Retrieval
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Abstract Biometric systems are complex systems of safety measures based on physical, biological and the humans behavioral. The automatic face recognition has become a highly active research area, mainly due to numbers published papers in recent years. In this

Large-scale face image retrieval: A Wyner-Ziv coding approach
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Great progress in face recognition technology has been made recently. Since the first face recognition vendor test (FRVT) Phillips et al.(2007) in 1993, face recognition performance has been improved by two orders of magnitude in thirteen years. Notably, in the FRVT

Development of Face Processing Methods for Content-based Image Retrieval
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The implemented and developed methods were tested with two different test sets. Various validation measures were used in the tests. Despite of the fact that many compromises had to be made in the development and implementation of the methods due to the

Human Information Retrieval Based on Face Recognition in Video Image through Multi-modal Interaction Using Speech and Hand Pointing Action
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Abstract In this paper, a system is proposed for enquiring human information about famous persons broadcast on television programs such as news or drama. The system is composed of hand-free speech recognition and hand action recognition so that a user can ask about

Content Based Image Retrieval (CBIR) of Face Sketch Images Using WHT Transform Domain
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Abstract. Content based face sketch retrieval can be used to find images of criminals from their sketches" Crime Prevention". This paper investigates the problem of CBIR of face sketch images in transform domain. Face sketch images that are similar to the query

A Review on Scalable Face Image Retrieval based on Attributes Enhanced Sparse Code Words
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Abstract: Due to the exponential growth of the social media like facebook, flicker etc. photos of people became one of the highly interested area. Dealing with human faces are more challenging because most of the human faces are similar in the low level appearance.

Efficient Retrieval of Face Image from Large Scale Database Using Sparse Coding and Reranking
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Abstract: Due to largely mounting of photo sharing in social network services, there is a strong need for large scale content-based face image retrieval which is enabling device for many emerging applications. It is very exigent to find a human face image from large scale

Face Image Retrieval Using Pose Specific Set Sparse Feature Representation
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Abstract:There are largely available consumer photos are available in our life, among those a big percentage of photos are photos with human faces. Thus content based face image retrieval is an emerging technology for many applications. A new method for

Survey on Content Based Face Image Retrieval and Attribute Detection
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Due to the popularity of digital devices such as digital cameras, image scanners, people can easily capture a photo and share it using the internet by various online tools like facebook, flickr, twitter, etc. Among vast digital images and photos shared on the internet, a big

Face Image Retrieval System using Discrete Orthogonal Moments
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Abstract. Image Retrieval from large databases is an embryonic application predominantly in medical and forensic departments. Face image retrieval is quiet a thought-provoking task since face images can vary noticeably in terms of facial expressions, lighting conditions

SURVEY ON FACE IMAGE RETRIEVAL
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Abstract--Face image retrieval, a technique which searches a set of faces from the large scale database based on user's query. It is an enabling technology used in many recent application such as face verification, crime investigation etc., however it is still a

Enhancing Adaptive Content Based Face Image Retrieval in Database
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ABSTRACT-To address one of the important and challenging problems–large-scale contentbased face image retrieval. Given a query face image, content-based face image retrieval tries to find similar face images from a large image database. Large-scale content

FACE IMAGE RETRIEVAL USING LWT-PCA WITH DIFFERENT CLASSIFIERS
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Abstract: In This paper, the face images retrieved system based on Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using frontal facial images from the ORL

request 4Portable Camera-Based Assistive Text and Product Label Reading From Hand-Held Objects for Blind Persons



Portable camera-based assistive text and product label reading from hand-held objects for blind persons
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Abstract:We propose a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the

secure image retrieval through feature protection

Secure image retrieval through feature protection
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ABSTRACT This paper addresses the problem of image retrieval from an encrypted database, where data confidentiality is preserved both in the storage and retrieval process. The paper focuses on image feature protection techniques which enable similarity


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