An evidence-driven probabilistic inference framework for semantic image understanding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5632 LNAI, Issue , 2009, Pages 525-539

  Nikolopoulos, Spiros ^a   Papadopoulos, Georgios Th ^a   Kompatsiaris, Ioannis ^a   Patras, Ioannis ^b  

^a INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

^b QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION CONTEXTS; COMPUTER VISION TECHNIQUES; GENERAL KNOWLEDGE; HUMAN PERCEPTION; PROBABILISTIC INFERENCE; SEMANTIC IMAGE UNDERSTANDING; VISUAL CONTENT; VISUAL STIMULUS;

BAYESIAN NETWORKS; COMPUTER VISION; IMAGE ANALYSIS; INFERENCE ENGINES; ROBOT LEARNING; SEMANTICS; VISUAL COMMUNICATION;

ONTOLOGY;

EID: 70350237028     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03070-3_40     Document Type: Conference Paper

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