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» A two-level relevance feedback mechanism for image retrieval
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MMM
2003
Springer
136views Multimedia» more  MMM 2003»
15 years 3 months ago
Modeling Data and User Characteristics by Peer Indexing in Content-based Image Retrieval
: Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval ap...
Jun Yang 0003, Qing Li, Yueting Zhuang
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Interactive Clustering of Video Segments for Media Structuring
Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structu...
Yukihiro Kinoshita, Naoko Nitta, Noboru Babaguchi
CVPR
2008
IEEE
15 years 11 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
ICMCS
2006
IEEE
127views Multimedia» more  ICMCS 2006»
15 years 3 months ago
An Interactive Region-Based Image Clustering and Retrieval Platform
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
Ying Liu, Xin Chen, Chengcui Zhang, Alan P. Spragu...
TKDE
2008
378views more  TKDE 2008»
14 years 9 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...