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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»
16 years 29 days 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»
15 years 6 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»
15 years 7 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»
15 years 1 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»
15 years 12 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