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Volumn , Issue , 2007, Pages 647-

Carnegie Mellon University traditional informedia digital video retrieval system

Author keywords

TRECVID results analysis; Video retrieval

Indexed keywords

INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS; QUERY PROCESSING; SEARCH ENGINES; SYNTACTICS; USER INTERFACES;

EID: 36849082013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1282280.1282374     Document Type: Conference Paper
Times cited : (6)

References (2)
  • 1
    • 36849085977 scopus 로고    scopus 로고
    • Merging Story board Strategies and Automatic Retrieval for Improving Interactive Video Search
    • July
    • Christel, M., and Yan, R. Merging Story board Strategies and Automatic Retrieval for Improving Interactive Video Search. In Proc. Image and Video Retrieval (CIVR) (July 2007).
    • (2007) Proc. Image and Video Retrieval (CIVR)
    • Christel, M.1    Yan, R.2
  • 2
    • 33846572816 scopus 로고    scopus 로고
    • Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
    • Feb
    • Snoek, C., Worring, M., Koelma, D., and Smeulders, A. A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval. IEEE Trans. Multimedia 9(2), Feb. 2007, 280-292.
    • (2007) IEEE Trans. Multimedia , vol.9 , Issue.2 , pp. 280-292
    • Snoek, C.1    Worring, M.2    Koelma, D.3    Smeulders, A.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.