메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1169-1172

Drive video summarization based on double articulation structure of driving behavior

Author keywords

drive video summarization, double articulation structure

Indexed keywords

ARTICULATION STRUCTURES; DRIVING BEHAVIOR; IMAGE-BASED METHODS; SUBJECTIVE EVALUATIONS; SWITCHING POINTS; VIDEO SUMMARIZATION;

EID: 84871360424     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396410     Document Type: Conference Paper
Times cited : (26)

References (7)
  • 1
    • 1542350295 scopus 로고    scopus 로고
    • Entropy metrics used for video summarization
    • Z. Cernekova et al. Entropy metrics used for video summarization. In SCCG, pages 73-82, 2002.
    • (2002) SCCG , pp. 73-82
    • Cernekova, Z.1
  • 3
    • 84859895217 scopus 로고    scopus 로고
    • Bayesian unsupervised word segmentation with nested pitman-yor language modeling
    • D. Mochihashi et al. Bayesian unsupervised word segmentation with nested pitman-yor language modeling. In ACL, pages 100-108, 2009.
    • (2009) ACL , pp. 100-108
    • Mochihashi, D.1
  • 4
    • 37449002420 scopus 로고    scopus 로고
    • Video summarisation: A conceptual framework and survey of the state of the art
    • A. Money et al. Video summarisation: A conceptual framework and survey of the state of the art. J. Vis. Commun. Image R., 19(2):121-143, 2008.
    • (2008) J. Vis. Commun. Image R. , vol.19 , Issue.2 , pp. 121-143
    • Money, A.1
  • 5
    • 84857543879 scopus 로고    scopus 로고
    • Double articulation analyzer for unsegmented human motion using pitman-yor language model and infinite hidden markov model
    • T. Taniguchi et al. Double articulation analyzer for unsegmented human motion using pitman-yor language model and infinite hidden markov model. In SII, 2011.
    • (2011) SII
    • Taniguchi, T.1
  • 6
    • 80054003159 scopus 로고    scopus 로고
    • Unsupervised segmentation of human motion data using a sticky hierarchical dirichlet process-hidden markov model and minimal description length-based chunking method for imitation learning
    • T. Taniguchi et al. Unsupervised segmentation of human motion data using a sticky hierarchical dirichlet process-hidden markov model and minimal description length-based chunking method for imitation learning. Advanced Robotics, 25(17):2143-2172, 2011.
    • (2011) Advanced Robotics , vol.25 , Issue.17 , pp. 2143-2172
    • Taniguchi, T.1
  • 7
    • 33749249312 scopus 로고    scopus 로고
    • Hierarchical dirichlet processes
    • Y. Teh et al. Hierarchical dirichlet processes. J. Am. Stat. Assoc., 101(476):1566-1581, 2006.
    • (2006) J. Am. Stat. Assoc. , vol.101 , Issue.476 , pp. 1566-1581
    • Teh, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.