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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 11 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
15 years 2 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»
15 years 2 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 5 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 11 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