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MTA
2010
116views more  MTA 2010»
13 years 3 months ago
Performing content-based retrieval of humans using gait biometrics
In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...
Sina Samangooei, Mark S. Nixon
CIVR
2003
Springer
154views Image Analysis» more  CIVR 2003»
13 years 10 months ago
Detecting Semantic Concepts from Video Using Temporal Gradients and Audio Classification
In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlatio...
Mika Rautiainen, Tapio Seppänen, Jani Penttil...
CIVR
2006
Springer
145views Image Analysis» more  CIVR 2006»
13 years 9 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 ...
ICMCS
2010
IEEE
231views Multimedia» more  ICMCS 2010»
13 years 2 months ago
Event based news video people classification and ranking using multimodality features
Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changs...
CIVR
2005
Springer
165views Image Analysis» more  CIVR 2005»
13 years 7 months ago
The Use and Utility of High-Level Semantic Features in Video Retrieval
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Michael G. Christel, Alexander G. Hauptmann