TY - GEN
T1 - Sensibility-aware image retrieval using computationally learned bases
T2 - 15th International Conference on Neuro-Information Processing, ICONIP 2008
AU - Kato, Takatoshi
AU - Honma, Shun'Ichi
AU - Matsuyama, Yasuo
AU - Yoshino, Tetsuma
AU - Hoshino, Yuuki
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349100032&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-02490-0_76
DO - 10.1007/978-3-642-02490-0_76
M3 - Conference contribution
AN - SCOPUS:70349100032
SN - 3642024890
SN - 9783642024894
VL - 5506 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 621
EP - 628
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 25 November 2008 through 28 November 2008
ER -