VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Trademark shape recognition using closed contours
Pattern Recognition Letters
Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Similarity Retrieval of Trademark Images
IEEE MultiMedia
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Haruspex: An Image Database System for Query-by-Examples
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Image Retrieval Based on Compositional Features and Interactive Query Specification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Relational Histograms for Shape Indexing
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Color image indexing using BTC
IEEE Transactions on Image Processing
Image retrieval using DCT on row mean, column mean and both with image fragmentation
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Query by image texture pattern content using Haar transform matrix and image bitmaps
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Full DST sectorization for feature vector generation in content based image retrieval
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
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With the tremendous growth of ICT (Information and Communication Technology), we are able to generate, store, share and transfer enormous amount of information. World Wide Web have further made is easy to access the information anytime, anywhere in the world. With the advent of high capacity communication links and storage devices even most of the information generated is of multimedia in nature. Images have major share in this information and the number of image achieves are growing with the jet speed Just having the tremendous amount of information is not useful unless we do not have the methodologies to effectively search the related data from it in minimum possible duration. The relativity of the image data is application specific. Here to search and retrieve the expected images from the database we need Content Based Image Retrieval (CBIR) system. CBIR extracts the features of query image and try to match them with the extracted features of images in the database. Then based on the similarity measures and threshold the best possible candidate matches are given as result. There have been many approaches to decide and extract the features of images in the database. Binary truncation Coding based features is one of the CBIR methods proposed using color features of image. The approach basically considers red, green and blue planes of image together to compute feature vector. Here we have augmented this BTC based CBIR as BTC-RGB and Spatial BTC-RGB. In BTC-RGB feature vector is computed by considering red, green and blue planes of the image independently. While in Spatial BTC-RGB, the feature vector is composed of four parts. Each part is representing the features extracted from one of the four non overlapping quadrants of the image. The new proposed methods are tested on the 1000 images database and the results show that the precession is improved in BTC-RGB and is even better in Spatial BTC-RGB.