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Volumn , Issue , 2010, Pages 42-47

Effective image semantic annotation by discovering visual-concept associations from Image-Concept Distribution Model

Author keywords

Entropy; Image annotation; Imageconcept distribution; Tf idf

Indexed keywords

CRITICAL PROBLEMS; DISTRIBUTION MODELS; EMPIRICAL EVALUATIONS; HIGH QUALITY IMAGES; IMAGE ANNOTATION; IMAGE SEMANTIC ANNOTATION; IMAGE SEMANTICS; IMAGECONCEPT DISTRIBUTION; PRECISION AND RECALL; TF-IDF; VISUAL FEATURE;

EID: 78349279572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2010.5582564     Document Type: Conference Paper
Times cited : (4)

References (16)
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  • 16
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    • A probabilistic semantic model for image annotation and multimodal image retrieval
    • August
    • R. Zhang, Z.(Mark) Zhang, M. Li, W.Y. Ma and H.J. Zhang, "A probabilistic semantic model for image annotation and multimodal image retrieval", ACM Multimedia Systems Journal, Vol. 12, No. 1, pp. 27-33, August 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.