Relevance tuning in content-based retrieval of structurally-modeled images using particle swarm optimization

2009 IEEE Symposium Computational Intelligence for Multimedia Signal and Vision Processing, CIMSVP 2009 - Proceedings

Volumn , Issue , 2009, Pages 75-82

  Oka, Nozomi ^a   Kameyama, Nonmember ^a   Kameyama, Keisuke ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CBIR SYSTEM; CONTENT-BASED IMAGE RETRIEVAL; DIFFERENT SIZES; FEED BACK INFORMATION; GRAPH MODELING; GRAPH-BASED; IMAGE MODELING; IMAGE REGIONS; IMAGE SIMILARITY; LARGE DATABASE; PARAMETER OPTIMIZATION; PARAMETER SELECTION; QUERY IMAGES; ROTATION ANGLES; SMALL SCALE; STRUCTURAL MODELING;

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; IMAGE MATCHING; INFORMATION RETRIEVAL; LABELS; MULTIMEDIA SIGNAL PROCESSING; STRUCTURAL OPTIMIZATION; TUNING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67650381798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSVP.2009.4925651     Document Type: Conference Paper

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