Improving the precision of CBIR systems by feature selection using binary gravitational search algorithm

AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing

Volumn , Issue , 2012, Pages 39-42

  Rashedi, Esmat ^a   Nezamabadi Pour, Hossein ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Binary gravitational search algorithm; Content base image retrieval; Feature selection

Indexed keywords

BINARY PARTICLE SWARM OPTIMIZATION; CBIR SYSTEM; CONTENT BASED IMAGE RETRIEVAL; GRAVITATIONAL SEARCH ALGORITHMS; HEURISTIC SEARCH ALGORITHMS; HIGH-LEVEL FEATURES; LOW-LEVEL FEATURES; SEMANTIC GAP;

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; HEURISTIC ALGORITHMS; PATTERN RECOGNITION; SEMANTICS; SIGNAL PROCESSING;

LEARNING ALGORITHMS;

EID: 84869160220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AISP.2012.6313714     Document Type: Conference Paper

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