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» Benchmarking image and video retrieval: an overview
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MIR
2006
ACM
129views Multimedia» more  MIR 2006»
13 years 11 months ago
Diversity in multimedia information retrieval research
Multimedia information retrieval is a highly diverse field. A variety of data types, research problems, methodologies are involved. Researchers in the field come from very diff...
James Ze Wang, Nozha Boujemaa, Alberto Del Bimbo, ...
MM
2009
ACM
230views Multimedia» more  MM 2009»
14 years 4 days ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
CVPR
2012
IEEE
11 years 8 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
14 years 6 days ago
Video copy detection by fast sequence matching
Sequence matching techniques are effective for comparing two videos. However, existing approaches suffer from demanding computational costs and thus are not scalable for large-sca...
Mei-Chen Yeh, Kwang-Ting Cheng