Art
J-GLOBAL ID:201402253637113000   Reference number:14A0368207

[Paper] Scene Detection Using a Large Number of Text Features

多数のテキスト特徴を用いたシーン検出
Author (8):
Material:
Volume:Issue:Page: 157-166 (J-STAGE)  Publication year: 2013 
JST Material Number: U0407A  ISSN: 2186-7364  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

JST classification (1):
JST classification
Category name(code) classified by JST.
Natural language processing 
Reference (18):
  • 1) Y. Nakada, Y. Mouri, Y. Hongo and T. Matsumoto: "Gibbsboost: A Boosting Algorithm using a Sequential Monte Carlo Approach", IEEE International Workshop on Machine Learning for Signal Processing, pp.259-264 (2006)
  • 2) A. Doucet, N. DeFreitas and N. Gordon: "Sequential Monte Carlo Methods in Practice", Springer (2001)
  • 3) T. Mochizuki, M. Tadenuma and N. Yagi: "Baseball video indexing using patternization of scenes and hidden Markov model", in Proceedings of IEEE international conference on Image Processing (ICIP), pp.1212-1215 (2005)
  • 4) X. Wang, S. Wang and H. Chen: "An Effective Soccer Video Shot Detection Algorithm", International Conference on Computer Science and Software Engineering, pp.214-217 (2008)
  • 5) Z. Rasheed and M. Shah: "Scene Detection In Hollywood Movies and TV Shows", in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.343-348 (2003)
more...
Terms in the title (1):
Terms in the title
Keywords automatically extracted from the title.

Return to Previous Page