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Published in:
2009 | OriginalPaper | Chapter
Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures
Authors : Takatoshi Kato, Shun’ichi Honma, Yasuo Matsuyama, Tetsuma Yoshino, Yuuki Hoshino
Published in: Advances in Neuro-Information Processing
Publisher: Springer Berlin Heidelberg
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Sensibility-aware image retrieval methods are presented and their performances are compared. Three systems are discussed in this paper: PCA/ICA-based method called RIM (Retrieval-aware IMage format), JPEG, and JPEG2000. In each case, a query is an image per se. Similar images are retrieved to this query. The RIM method is judged to be the best settlement in view of the retrieval performance and the response speed according a carefully designed set of opinion tests. An integrated retrieval system for image collections from the network and databases which contain RIM, JPEG and JPEG2000 is realized and evaluated lastly. Source codes of the RIM method is opened.