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» Learning to rank for content-based image retrieval
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89
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CIVR
2006
Springer
145views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Learned Lexicon-Driven Interactive Video Retrieval
Abstract. We combine in this paper automatic learning of a large lexicon of semantic concepts with traditional video retrieval methods into a novel approach to narrow the semantic ...
Cees Snoek, Marcel Worring, Dennis Koelma, Arnold ...
86
Voted
GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
14 years 10 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock
WWW
2010
ACM
15 years 1 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
15 years 2 months ago
Image database retrieval utilizing affinity relationships
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
CVPR
2007
IEEE
15 years 1 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...