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Volumn 8156 LNCS, Issue PART 1, 2013, Pages 290-299

An interactive video retrieval approach based on latent topics

Author keywords

Content based video retrieval; latent topics; relevance feedback

Indexed keywords

CONTENT-BASED VIDEO RETRIEVAL; INTERACTIVE INFORMATION RETRIEVAL; INTERACTIVE VIDEO; LATENT TOPICS; PROBABILISTIC LATENT SEMANTIC ANALYSIS MODEL; RELEVANCE FEEDBACK; SYMMETRIC EXTENSION; VIDEO RETRIEVAL;

EID: 84884723674     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41181-6_30     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • Blei, D.1
  • 9
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Machine Learning 42(1-2), 177-196 (2001)
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 177-196
    • Hofmann, T.1
  • 14
    • 53449090412 scopus 로고    scopus 로고
    • State-of-the-art on spatio-temporal information-based video retrieval
    • Ren, W., Singh, S., Singh, M., Zhu, Y.: State-of-the-art on spatio-temporal information-based video retrieval. Pattern Recognition 42(2), 267-282 (2009)
    • (2009) Pattern Recognition , vol.42 , Issue.2 , pp. 267-282
    • Ren, W.1    Singh, S.2    Singh, M.3    Zhu, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.