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» Using High-Level Semantic Features in Video Retrieval
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ICPR
2010
IEEE
15 years 27 days ago
An Empirical Study of Feature Extraction Methods for Audio Classification
With the growing popularity of video sharing web sites and the increasing use of consumer-level video capture devices, new algorithms are needed for intelligent searching and inde...
Charles Parker
ICIP
2008
IEEE
15 years 4 months ago
Gradual transition detection using color coherence and other criteria in a video shot meta-segmentation framework
Shot segmentation provides the basis for almost all high-level video content analysis approaches, validating it as one of the major prerequisites for efficient video semantic ana...
Efthymia Tsamoura, Vasileios Mezaris, Ioannis Komp...
ADC
2008
Springer
104views Database» more  ADC 2008»
14 years 11 months ago
An Integrated Approach to Video Retrieval
The usefulness of a video database depends on whether the video of interest can be easily located. In this paper, we propose a video retrieval algorithm based on the integration o...
Liang-Hua Chen, Kuo-Hao Chin, Hong-Yuan Mark Liao
MMM
2009
Springer
151views Multimedia» more  MMM 2009»
15 years 6 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 featur...
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith...
AMR
2005
Springer
106views Multimedia» more  AMR 2005»
15 years 3 months ago
Surface Features in Video Retrieval
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...