Image retrieval using augmented block truncation coding techniques
Proceedings of the International Conference on Advances in Computing, Communication and Control
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
Moments of pixel distribution of BMP image for CBIR
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A new content-based image retrieval approach based on pattern orientation histogram
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Joint querying and relevance feedback scheme for an on-line image retrieval system
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
On-line content-based image retrieval system using joint querying and relevance feedback scheme
WSEAS Transactions on Computers
IPSILON: incremental parsing for semantic indexing of latent concepts
IEEE Transactions on Image Processing
A compact auto color correlation using binary coding stream for image retrieval
Proceedings of the 15th WSEAS international conference on Computers
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Image retrieval using weighted color co-occurrence matrix
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
Image retrieval based on co-occurrence matrix using block classification characteristics
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Reversible Steganography for BTC-compressed Images
Fundamenta Informaticae
A new matching strategy for content based image retrieval system
Applied Soft Computing
Image indexing using the color and bit pattern feature fusion
Journal of Visual Communication and Image Representation
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This paper presents a new application of a well-studied image coding technique, namely block truncation coding (BTC). It is shown that BTC can not only be used for compressing color images, it can also be conveniently used for content-based image retrieval from image databases. From the BTC compressed stream (without performing decoding), we derive two image content description features, one termed the block color co-occurrence matrix (BCCM) and the other block pattern histogram (BPH). We use BCCM and BPH to compute the similarity measures of images for content-based image retrieval applications. Experimental results are presented which demonstrate that BCCM and BPH are comparable to similar state of the art techniques.