Factor graph framework for semantic video indexing

Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semantics, we need to bridge the gap between the low-level representation and high-level semantics. This is a difficult multime...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 12; H. 1; S. 40 - 52
Hauptverfasser:	Ramesh Naphade, M., Kozintsev, I.V., Huang, T.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.01.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Artificial intelligence Bridges Computational modeling Computer science; control theory; systems Context modeling Exact sciences and technology Explosions Filtering Forestry Graphs Image processing Indexing Information, signal and communications theory Mathematical models Motion pictures Mountains Pattern recognition. Digital image processing. Computational geometry Probabilistic methods Probability theory Semantics Signal processing Snow Studies Telecommunications and information theory Video data Performance evaluation Multimedia Probabilistic approach Database query Hidden Markov models Likelihood ratio test Feature extraction Graph method Pattern recognition Video signal processing Indexing
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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