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Volumn , Issue , 2010, Pages 109-114

Similarity matrix compression for efficient Signature Quadratic Form Distance computation

Author keywords

Content based multimedia retrieval; Efficient query processing; Signature quadratic form distance; Similarity matrix compression; Similarity search

Indexed keywords

CONTENT-BASED MULTIMEDIA RETRIEVAL; EFFICIENT QUERY PROCESSING; QUADRATIC FORM; SIMILARITY MATRIX; SIMILARITY SEARCH;

EID: 78649846905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1862344.1862361     Document Type: Conference Paper
Times cited : (6)

References (18)
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  • 7
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    • Deselaers, T.1    Keysers, D.2    Ney, H.3
  • 9
    • 56149124617 scopus 로고    scopus 로고
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    • P. Geetha and V. Narayanan. A Survey of Content- Based Video Retrieval. Journal of Computer Science, 4(6):474-486, 2008.
    • (2008) Journal of Computer Science , vol.4 , Issue.6 , pp. 474-486
    • Geetha, P.1    Narayanan, V.2
  • 12
    • 0032431773 scopus 로고    scopus 로고
    • Approximation-based similarity search for 3-D surface segments
    • H.-P. Kriegel and T. Seidl. Approximation-Based Similarity Search for 3-D Surface Segments. Geoinformatica, 2(2):113-147, 1998.
    • (1998) Geoinformatica , vol.2 , Issue.2 , pp. 113-147
    • Kriegel, H.-P.1    Seidl, T.2
  • 13
    • 33745130042 scopus 로고    scopus 로고
    • Content-based multimedia information retrieval: State of the art and challenges
    • M. S. Lew, N. Sebe, C. Djeraba, and R. Jain. Content-Based Multimedia Information Retrieval: State of the Art and Challenges. ACM TOMCCAP, 2(1):1-19, 2006.
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    • The earth mover's distance as a metric for image retrieval
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    • Rubner, Y.1    Tomasi, C.2    Guibas, L.J.3
  • 16
    • 84993661650 scopus 로고    scopus 로고
    • Efficient user-adaptable similarity search in large multimedia databases
    • T. Seidl and H.-P. Kriegel. Efficient User-Adaptable Similarity Search in Large Multimedia Databases. In Proc. 23rd Int. Conf. on Very Large Data Bases, pages 506-515, 1997.
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    • Seidl, T.1    Kriegel, H.-P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.