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» Video retrieval using spatio-temporal descriptors
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MM
2006
ACM
158views Multimedia» more  MM 2006»
14 years 1 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
14 years 2 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...
MM
2009
ACM
147views Multimedia» more  MM 2009»
14 years 2 months ago
Distribution-based concept selection for concept-based video retrieval
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approaches try to find concepts that are likely to co-occur in the relevant shots fro...
Juan Cao, HongFang Jing, Chong-Wah Ngo, Yongdong Z...
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 7 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...