Features for art painting classification based on vector quantization of MPEG-7 descriptors

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

Volumn 6411 LNCS, Issue , 2012, Pages 146-153

  Ivanova, Krassimira ^a   Stanchev, Peter ^a,b   Velikova, Evgeniya ^c   Vanhoof, Koen ^d   Depaire, Benoit ^d   Kannan, Rajkumar ^e   Mitov, Iliya ^a   Markov, Krassimir ^a  

^a INSTITUTE OF MATHEMATICS AND INFORMATICS   (Bulgaria)

^b KETTERING UNIVERSITY   (United States)

^c UNIVERSITY OF SOFIA   (Bulgaria)

^d HASSELT UNIVERSITY   (Belgium)

^e BISHOP HEBER COLLEGE   (India)

Author keywords

Categorization; Clustering; Content Based Image Retrieval (CBIR); MPEG 7 Descriptors; Multimedia Semantics; Vector Quantization

Indexed keywords

CATEGORIZATION; CLUSTERING; CONTENT-BASED IMAGE RETRIEVAL; MPEG-7 DESCRIPTORS; MULTIMEDIA SEMANTICS;

MOTION PICTURE EXPERTS GROUP STANDARDS; PAINT; SEMANTICS;

VECTOR QUANTIZATION;

EID: 84858019637     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-27872-3_22     Document Type: Conference Paper

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