TY - GEN
T1 - A stochastic model for content-based image retrieval
AU - Shyu, Mei Ling
AU - Chen, Shu Ching
AU - Luo, Lin
AU - Shu, Chi Min
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - Multimedia data, typically image data, is increasing rapidly across the Internet and elsewhere. To keep pace with the increasing volumes of image information, new techniques need to be investigated to retrieve images intelligently and efficiently. Content-based image retrieval is always a challenging task. In this paper, a stochastic model, called Markov Model Mediator (MMM) mechanism, is used to model the searching and retrieval process for content-based image retrieval. Different from the common methods, our stochastic model carries out the searching and similarity computing process dynamically, taking into consideration not only the image content features but also other characteristics of images such as their access frequencies and access patterns. Experimental results demonstrate that the MMM mechanism together with the stochastic process can assist in retrieving more accurate results for user queries.
AB - Multimedia data, typically image data, is increasing rapidly across the Internet and elsewhere. To keep pace with the increasing volumes of image information, new techniques need to be investigated to retrieve images intelligently and efficiently. Content-based image retrieval is always a challenging task. In this paper, a stochastic model, called Markov Model Mediator (MMM) mechanism, is used to model the searching and retrieval process for content-based image retrieval. Different from the common methods, our stochastic model carries out the searching and similarity computing process dynamically, taking into consideration not only the image content features but also other characteristics of images such as their access frequencies and access patterns. Experimental results demonstrate that the MMM mechanism together with the stochastic process can assist in retrieving more accurate results for user queries.
UR - http://www.scopus.com/inward/record.url?scp=84949985259&partnerID=8YFLogxK
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U2 - 10.1007/3-540-36228-2_29
DO - 10.1007/3-540-36228-2_29
M3 - Conference contribution
AN - SCOPUS:84949985259
SN - 3540002626
SN - 9783540002628
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 229
EP - 236
BT - Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
A2 - Chen, Yung-Chang
A2 - Chang, Long-Wen
A2 - Hsu, Chiou-Ting
PB - Springer Verlag
T2 - 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
Y2 - 16 December 2002 through 18 December 2002
ER -