Semantic classification, low level features and relevance feedback for content-based image retrieval

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7255, Issue , 2009, Pages

  Ciocca, G ^a   Cusano, C ^a   Schettini, R ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Content based image retrieval; Image annotation; Image classification; Relevance feedback

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL; CONTENT-BASED IMAGE RETRIEVAL SYSTEMS; CONTENT-BASED RETRIEVALS; IMAGE ANNOTATION; IMAGE CONTENTS; LOW LEVELS; LOW-LEVEL FEATURES; MULTIMEDIA APPLICATIONS; NEGATIVE IMAGES; RELEVANCE FEEDBACK; RETRIEVAL PROCESS; SEMANTIC CLASSIFICATIONS; SEMANTIC GAPS; VISUAL FEATURES;

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INFORMATION RETRIEVAL; INFORMATION THEORY; LEARNING ALGORITHMS; MULTIMEDIA SYSTEMS; NEURAL NETWORKS; PHOTOGRAPHIC ACCESSORIES; SEMANTICS;

FEEDBACK;

EID: 62149133792     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.810792     Document Type: Conference Paper

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