메뉴 건너뛰기




Volumn 3, Issue , 2004, Pages 1947-1950

Effective and efficient sports highlights extraction using the minimum description length criterion in selecting GMM structures

Author keywords

Gaussian Mixture Models; Minimum Description Length; Model Structure; Sports Highlights Extraction

Indexed keywords

DATA PROCESSING; FEATURE EXTRACTION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; RANDOM PROCESSES; VECTORS; VIDEO SIGNAL PROCESSING;

EID: 11244349811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (7)
  • 4
    • 84892211181 scopus 로고    scopus 로고
    • Audio-visual sports highlights extraction using coupled hidden markov models
    • submitted to, Special Issue on Video Based Event Detection
    • Z. Xiong, R. Radhakrishnan, A. Divakaran, and T.S. Huang, "Audio-visual sports highlights extraction using coupled hidden markov models," submitted to Pattern Analysis and Application Journal, 2004, Special Issue on Video Based Event Detection.
    • (2004) Pattern Analysis and Application Journal
    • Xiong, Z.1    Radhakrishnan, R.2    Divakaran, A.3    Huang, T.S.4
  • 6
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • J. Rissanen, "A universal prior for integers and estimation by minimum description length," Annals of Statistics, vol. 11, no. 2, pp. 417 -431, 1983.
    • (1983) Annals of Statistics , vol.11 , Issue.2 , pp. 417-431
    • Rissanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.