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» Using High-Level Semantic Features in Video Retrieval
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SISAP
2010
IEEE
196views Data Mining» more  SISAP 2010»
14 years 7 months ago
Efficient and effective similarity-based video retrieval
The retrieval of videos of interest from large video collections is a main open problem which calls for the definition of new video content characterization techniques in term of ...
Ilaria Bartolini, Corrado Romani
ECIR
2003
Springer
14 years 11 months ago
Aggregated Feature Retrieval for MPEG-7
In this paper we present an initial study on the use of both high and low level MPEG-7 descriptions for video retrieval. A brief survey of current XML indexing techniques shows tha...
Jiamin Ye, Alan F. Smeaton
EUSFLAT
2007
186views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Forest of Fuzzy Decision Trees and Their Application in Video Mining
One of the great challenges today is to index videos with high-level semantic concepts or features. The basis of our approach is to use a fuzzy decision trees (FDT) to construct t...
Marcin Detyniecki, Christophe Marsala
ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
15 years 1 months ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu
MTA
2010
116views more  MTA 2010»
14 years 8 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