cbir-content based image retrieval 2011-2012


 CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization
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ABSTRACT Content Based Image Retrieval is a way of computer viewing technique used to
retrieve digital images from a huge database. In this paper we have first calculated the
feature vector column-wise and row-wise separately. After this we have concatenated the 
<  Energy based Comparative Study of CBIR Techniques and a Novel approach of Image Splitting in the Frequency Domain for Efficient Retrieval
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ABSTRACT In this paper a comparative study of the existing Content Based Image Retrieval
(CBIR) techniques is presented. Also a novel idea of tiling the images after transforming
them into the frequency domain is proposed. The transformed images are broken down 

 Performance Evaluation in Iris Recognition and CBIR System based on phase congruency
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ABSTRACT Content based image retrieval is an important research area in image
processing, with a vast domain of applications like recognition systems ie face, finger, iris
biometric etc. It retrieves the similar type of images from repository of images based on 

 Comprehensive Performance Comparison of Cosine, Walsh, Haar, Kekre, Sine, Slant and Hartley Transforms for CBIR with Fractional Coefficients of
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Abstract The desire of better and faster retrieval techniques has always fuelled to the
research in content based image retrieval (CBIR). The extended comparison of innovative
content based image retrieval (CBIR) techniques based on feature vectors as fractional 

A Discriminative Distance Learning–Based CBIR Framework for Characterization of Indeterminate Liver Lesions
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In this paper we propose a novel learning–based CBIR method for fast content–based
retrieval of similar 3D images based on the intrinsic Random Forest (RF) similarity.
Furthermore, we allow the combination of flexible user–defined semantics (in the form of 

 Using relevant regions in image search and query refinement for medical CBIR
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ABSTRACT In clinical decision processes, relevant scientific publications and their
associated medical images can provide valuable and insightful information. However,
effectively searching through both text and image data is a difficult and arduous task. More 

 Effectiveness of icf features for collection-specific cbir
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N Mohammed, DM Squire , Retrieval, co-located with the 22nd , 2011 ,csse.monash.edu.au
Abstract. This study aims to find more effective methods for collection-specific CBIR. A lot of
work has been done in trying to adapt a system by user feedback, in this study we aim to
adapt CBIR systems for specific image collections in an automated manner. Independent 

 Improved CBIR through Combined Indexing Techniques
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S Mostefai, S Jeyasekhar ,2011
Abstract—Multimedia databases get larger and larger in our days. There are various aspects
that affect the demand for efficient database techniques to manage the flood of multimedia
data, namely the increasing number of objects, the increasing complexity of objects. 
<  Pornographic Images Detection Based on CBIR and Skin Analysis
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B Srinivas, P Satheesh, U NANAJI ,2012 ,ijair.jctjournals.com
Abstract—Videos are consider in these time an important way to record our life moments.
Nowadays and with the widespread of using Internet, videos can be shared easily between
different countries and between peoples around the world. Now due the ease of using 

 EVALUATION OF CBIR APPROACHES FOR DIFFERENTLY SIZED IMAGES
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V Gupta, A Ramawat ,International Journal, 2012
Abstract 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. An
experimental comparison of a number of different color descriptors for evaluation of CBIR 

 An Effective CBIR using Texture
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A Deshmukh, L Ragha ,IJCA Proceedings on , 2012
ABSTRACT Content Based Image Retrieval is one of the active research areas. With
emerging technologies of multimedia, communication and processing large volume of
image database is used. Current approaches include the use of color, texture and shape 

 Survey Of Cbir Techniques And Semantics
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Abstract: Content based image retrieval is an important research area in image processing,
witha vast domain of applications like recognition systems ie face, finger, biometrics etc. This
paper provides extensive review of various latest research work and methodologies 

 Comparative study on CBIR based by color histogram, Gabor and wavelet transform
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A Kumar, J Esther ,International Journal of Computer Applications, 2011
Abstract Content-Based Image Retrieval (CBIR), also known as query by image content
(QBIC) Content-based image retrieval (CBIR) system helps users to retrieve relevant images
based on their contents. Content Based Image Retrieval (CBIR) technologies provide a 

 Content Based Image Retrieval System for Medical Databases (CBIR-MD)-Lucratively tested on Endoscopy, Dental and Skull Images
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A Oberoi, M Singh ,2012
Abstract In medical field, digital images are produced in ever increasing quantities and used
for diagnostics and therapy. The swift expansion of digital medical images has enforced the
requirement of efficient Content-based image retrieval system for retrieving medical 

 Column wise DCT plane sectorization in CBIR
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Abstract—Content Based Image Retrieval (CBIR) is the application of computer vision
techniques used to retrieve digital images from a large database. In this paper we have used
the concept of sectorization of the plane formed form DCT transformed image. We have 

 CBIR Using DCT for Feature Vector Generation
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V Bhandari, SB Patil ,International Journal, 2012 ,ijaiem.org
ABSTRACT The focus of this work is on using transformation technique for searching,
browsing and retrieving images from a large database. In this paper we are using Discrete
Cosine Transform to generate the feature vector. Here we are considering DCT of each R, 

 Sectorization of Walsh and Walsh Wavelet in CBIR
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Abstract— This paper proposes the new Walsh Wavelet generation and its use in the Content
Based Image Retrieval. The Walsh Wavelet has been used to transform the images and sectored
it into various sector sizes to generate the feature vectors of those images. The 

 Neutralizing the Semantic Gap in the Content Based Image Retrieval (CBIR) System
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ST Singh, TR Sontakke ,European , 2012 ,europeanjournalofscientificresearch.
Abstract Recently, Content Based Image Retrieval (CBIR) plays a significant role in the
image processing field. In order to retrieve images relevant to a given query image, the CBIR
system utilizes either low level features (such as shape, color etc.,) or high level features ( 

 M-CBIR: A medical content-based image retrieval system using metric data-structures
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H Chuctaya, C Portugal, C Beltrán, P Arequipa ,2011 ,jcc2011.utalca.cl
Abstract—This work proposes the modeling and development of a CBIR (Content-based
image retrieval) system applied to the recovery of digital medical images of a human body,
denominated M-CBIR. This model is based on two methodologies: features extraction 

 Radial Basis Function used in CBIR for SIFT Features
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S Kumar, S Singhal, A Sharma ,International Journal, 2012
ABSTRACT—The traditional information retrieval techniques does not meet the user’s
demand, so there is need to develop an efficient system for content based image retrieval
(CBIR). In this paper method is proposed for an efficient CBIR system using Radial basis 

 Feature based image retrieval of images for CBIR
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P Rane, P Kulkarni, S Patil, BB Meshram ,IJCEM International Journal of , 2011 ,ijcem.org
Abstract Extensive use of images in various applications gives immense importance to
Content based image retrieval. There are many ways to retrieve image from image database
depending upon various image features like DCT coefficients, mean, median entropy etc. 

 Row-wise DCT Plane Sectorization in CBIR
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ABSTRACT CBIR (Content Based Image Retrieval System) uses the visual information of an
image to give the relevant images as the output. In this paper, we have implemented CBIR
by the method of generating Feature Vector using Plane Sectorization. The plane of the 

 CBIR-MD/BGP: CBIR-MD System based on Bipartite Graph Partitioning
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A Oberoi, D Sharma, M Singh ,International Journal of , 2012
ABSTRACT Content based image retrieval system for medical images is a method of
retrieving medical images based on similarity of their visual contents. An efficient CBIR-MD
system can help the doctors in retrieving similar medical image from the dataset to 



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