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» Techniques for automatic video content derivation
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OAS
2003
13 years 6 months ago
A UML ontology and derived content language for a travel booking scenario
This paper illustrates an approach to combining the benefits of a multi-agent system architecture with the use of industry-standard modelling techniques using the Unified Modeli...
Stephen Cranefield, Jin Pan, Martin K. Purvis
ICMCS
2005
IEEE
177views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Comparison of Visual Features and Fusion Techniques in Automatic Detection of Concepts from News Video
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
Mika Rautiainen, Tapio Seppänen
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Automatic Content Placement in Sports Highlights
To be viable advertising platforms, methods for in-program content placement in sports video must balance against clutter. We propose viewer relevance (VR) measures of video frame...
Kongwah Wan, Changsheng Xu
ICPR
2000
IEEE
13 years 9 months ago
Automatic Genre Identification for Content-Based Video Categorization
Thispaper presents a set of computationalfeatures originatingfrom our study of editing effects, motion, and color used in videos,for the task of automatic video categorization. Th...
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Semantic Labeling of Multimedia Content Clusters
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Jelena Tesic, John R. Smith