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Ajay H. Daptardar
Researcher at Brandeis University
Publications - 7
Citations - 88
Ajay H. Daptardar is an academic researcher from Brandeis University. The author has contributed to research in topics: Image retrieval & Content-based image retrieval. The author has an hindex of 6, co-authored 7 publications receiving 85 citations.
Papers
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Journal ArticleDOI
Adapting the Knuth-Morris-Pratt algorithm for pattern matching in Huffman encoded texts
Dana Shapira,Ajay H. Daptardar +1 more
TL;DR: A bitwise KMP algorithm is proposed that can move one extra bit in the case of a mismatch since the alphabet is binary, and two practical Huffman decoding schemes which handle more than a single bit per machine operation are combined.
Proceedings ArticleDOI
Reduced complexity content-based image retrieval using vector quantization
TL;DR: A low complexity approach for content-based image retrieval (CBIR) using vector quantization (VQ), where the VQ codebooks serve as generative image models and are used to represent images while computing their similarity.
Proceedings ArticleDOI
Adapting the Knuth-Morris-Pratt algorithm for pattern matching in Huffman encoded texts
Ajay H. Daptardar,Dana Shapira +1 more
TL;DR: A bitwise KMP algorithm is proposed that can move one extra bit in the case of a mismatch, since the alphabet is binary, to overcome the problem of false matches in Huffman encoded texts.
Proceedings ArticleDOI
VQ Based Image Retrieval Using Color and Position Features
TL;DR: Experiments performed on the COREL image database show this new approach to provide almost equivalent retrieval precision to the previous method of jointly trained codebooks (and an improvement over previous methods) at much lower complexity.
Book ChapterDOI
Content-Based image retrieval via vector quantization
TL;DR: This work presents a novel approach for content-based image retrieval (CBIR) using vector quantization (VQ), which allows us to retain the image database in compressed form without any need to store additional features for image retrieval.