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125
Voted
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
15 years 9 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
163
Voted
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
15 years 9 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
157
Voted
MM
2006
ACM
168views Multimedia» more  MM 2006»
15 years 9 months ago
Scalability of local image descriptors: a comparative study
Computer vision researchers have recently proposed several local descriptor schemes. Due to lack of database support, however, these descriptors have only been evaluated using sma...
Herwig Lejsek, Friðrik Heiðar Ásmun...
157
Voted
CIKM
2009
Springer
15 years 8 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
168
Voted
SPIESR
2001
174views Database» more  SPIESR 2001»
15 years 5 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi