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» Set-based model: a new approach for information retrieval
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WEBDB
2009
Springer
124views Database» more  WEBDB 2009»
14 years 3 months ago
Bridging the Terminology Gap in Web Archive Search
Web archives play an important role in preserving our cultural heritage for future generations. When searching them, a serious problem arises from the fact that terminology evolve...
Klaus Berberich, Srikanta J. Bedathur, Mauro Sozio...
MM
2010
ACM
192views Multimedia» more  MM 2010»
13 years 9 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
EVENT
2001
171views more  EVENT 2001»
13 years 10 months ago
Content-Based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events
As amounts of publicly uvuiluble video dutu grow, the need to query this dutu efficiently becomes signijcunt. Consequently, content-bused retrievul of video datu turns out to be U...
Milan Petkovic, Willem Jonker
JMLR
2010
127views more  JMLR 2010»
13 years 3 months ago
Content-based Image Retrieval with Multinomial Relevance Feedback
The paper considers an interactive search paradigm in which at each round a user is presented with a set of k images and is required to select one that is closest to her target. P...
Dorota Glowacka, John Shawe-Taylor
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 2 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li