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Volumn , Issue , 2002, Pages 376-

Video retrieval with multiple image search strategies

Author keywords

Image search; Video information retrieval; Video library

Indexed keywords

CONTENT BASED RETRIEVAL; INTERACTIVE COMPUTER SYSTEMS; PATTERN RECOGNITION; QUERY LANGUAGES; USER INTERFACES;

EID: 0036995291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/544317.544323     Document Type: Conference Paper
Times cited : (3)

References (5)
  • 1
    • 0013233979 scopus 로고    scopus 로고
    • Carnegie Mellon University Informedia Digital Video Library
    • Carnegie Mellon University Informedia Digital Video Library, 2002, http://www.informedia.cs.cmu.edu.
    • (2002)
  • 2
    • 34249772390 scopus 로고
    • Efficient and effective Querying by image content
    • Faloutsos, C., et al. Efficient and Effective Querying by Image Content. Journal of Intelligent Information Systems 3, 3/4 (1994), 231-262.
    • (1994) Journal of Intelligent Information Systems , vol.3 , Issue.3-4 , pp. 231-262
    • Faloutsos, C.1
  • 3
    • 0033895099 scopus 로고    scopus 로고
    • Matching and retrieval based on the vocabulary and grammar of color patterns
    • Mojsilovic, A., et al. Matching and Retrieval Based on the Vocabulary and Grammar of Color Patterns. IEEE Trans. Image Processing, 9, 1 (2000), 38-54.
    • (2000) IEEE Trans. Image Processing , vol.9 , Issue.1 , pp. 38-54
    • Mojsilovic, A.1
  • 4
    • 0013285304 scopus 로고    scopus 로고
    • NIST TREC Video Retrieval Track
    • NIST TREC Video Retrieval Track, 2001-2002, http://www-nlpir.nist.gov/projects/trecvid/.
    • (2001)
  • 5
    • 0033079569 scopus 로고    scopus 로고
    • Lessons learned from the creation and deployment of a terabyte digital video library
    • (February)
    • Wactlar, H., et al. Lessons Learned from the Creation and Deployment of a Terabyte Digital Video Library. IEEE Computer 32, 2 (February 1999), 66-73.
    • (1999) IEEE Computer , vol.32 , Issue.2 , pp. 66-73
    • Wactlar, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.