Canonical contextual distance for large-scale image annotation and retrieval

1st ACM Workshop on Large-Scale Multimedia Retrieval and Mining, LS-MMRM 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Volumn , Issue , 2009, Pages 3-10

  Nakayama, Hideki ^a   Harada, Tatsuya ^a   Kuniyoshi, Yasuo ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Probabilistic canonical correlation analysis; Scalable learning; Similarity measure

Indexed keywords

CANONICAL CORRELATION ANALYSIS; DATA SETS; ENTIRE SYSTEM; GENERIC IMAGES; IMAGE ANNOTATION; IMAGE FEATURES; LEARNING METHODS; LEARNING SIMILARITY; METHOD OF IMAGES; MULTIPLE LABELS; PROBABILISTIC STRUCTURES; RESEARCH FIELDS; SEARCH PROCESS; SIMILARITY MEASURE; VISUAL KNOWLEDGE; WEB IMAGES;

IMAGE ANALYSIS; IMAGE RECOGNITION; KNOWLEDGE ACQUISITION; METHOD OF MOMENTS; SEMANTICS;

MULTIMEDIA SYSTEMS;

EID: 72449197992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631058.1631062     Document Type: Conference Paper

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