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A factor graph framework for semantic video indexing
Milind Ramesh Naphade
, Igor V. Kozintsev
, Thomas S. Huang
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peer-review
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Dive into the research topics of 'A factor graph framework for semantic video indexing'. Together they form a unique fingerprint.
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Keyphrases
Graph Framework
100%
Factor Graph
100%
Video Semantic Indexing
100%
Multinet
100%
Multimedia Materials
66%
Detection Performance
50%
High-level Semantics
33%
Semantic Concept
33%
Data Content
16%
Video Data
16%
Temporal Correlation
16%
Probabilistic Model
16%
Water Bodies
16%
Low-level Features
16%
Keyword Query
16%
Conceptual Relations
16%
Spatio-temporal Constraints
16%
Video Database
16%
Forestry
16%
Snow Water
16%
Greenery
16%
Video Query
16%
Pattern Classification Problem
16%
Semantic Filtering
16%
Multimedia Understanding
16%
Semantic Keyword
16%
Probabilistic Pattern Recognition
16%
Video Data Management
16%
Computer Science
factor graph
100%
Graph Framework
100%
Multimedia Object
100%
Detection Performance
75%
Higher Semantic Level
50%
Semantic Concept
50%
Multimedia
25%
Temporal Correlation
25%
Temporal Constraint
25%
Data Management
25%
Recognition Problem
25%
Semantic Modeling
25%
Level Representation
25%
Video Database
25%
Level Similarity
25%
Pattern Recognition
25%