메뉴 건너뛰기




Volumn 38, Issue , 2015, Pages 1-12

Incremental probabilistic Latent Semantic Analysis for video retrieval

Author keywords

Content based Video Retrieval; Information retrieval; Latent topics; probabilistic Latent Semantic Analysis (pLSA); Relevance Feedback

Indexed keywords

FEEDBACK; INFORMATION RETRIEVAL; SEMANTICS;

EID: 84927932499     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2015.02.003     Document Type: Article
Times cited : (28)

References (42)
  • 1
    • 0036532792 scopus 로고    scopus 로고
    • A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video
    • S. Antani A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video Pattern Recogn. 35 2002 945 965
    • (2002) Pattern Recogn. , vol.35 , pp. 945-965
    • Antani, S.1
  • 3
    • 33749264994 scopus 로고    scopus 로고
    • A survey of content-based image retrieval with high-level semantics
    • L. Ying, Z. Dengsheng, L. Guojun, and M. Wei-Ying A survey of content-based image retrieval with high-level semantics Pattern Recogn. 40 2007 262 282
    • (2007) Pattern Recogn. , vol.40 , pp. 262-282
    • Ying, L.1    Dengsheng, Z.2    Guojun, L.3    Wei-Ying, M.4
  • 4
    • 33750629178 scopus 로고    scopus 로고
    • Stochastic exploration and active learning for image retrieval
    • M. Cord, P.H. Gosselin, and S. Philipp-Foliguet Stochastic exploration and active learning for image retrieval Image Vis. Comput. 25 2007 14 23
    • (2007) Image Vis. Comput. , vol.25 , pp. 14-23
    • Cord, M.1    Gosselin, P.H.2    Philipp-Foliguet, S.3
  • 5
    • 77951165246 scopus 로고    scopus 로고
    • Large scale online learning of image similarity through ranking
    • G. Chechik, V. Sharma, U. Shalit, and S. Bengio Large scale online learning of image similarity through ranking J. Mach. Learn. Res. 11 2010 1109 1135
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 1109-1135
    • Chechik, G.1    Sharma, V.2    Shalit, U.3    Bengio, S.4
  • 6
    • 79957501602 scopus 로고    scopus 로고
    • Image retrieval based on micro-structure descriptor
    • G.-H. Liu, Z.-Y. Li, L. Zhang, and Y. Xu Image retrieval based on micro-structure descriptor Pattern Recogn. 44 2011 2123 2133
    • (2011) Pattern Recogn. , vol.44 , pp. 2123-2133
    • Liu, G.-H.1    Li, Z.-Y.2    Zhang, L.3    Xu, Y.4
  • 8
    • 53449090412 scopus 로고    scopus 로고
    • State-of-the-art on spatio-temporal information-based video retrieval
    • W. Ren, S. Singh, M. Singh, and Y.S. Zhu State-of-the-art on spatio-temporal information-based video retrieval Pattern Recogn. 42 2009 267 282
    • (2009) Pattern Recogn. , vol.42 , pp. 267-282
    • Ren, W.1    Singh, S.2    Singh, M.3    Zhu, Y.S.4
  • 12
  • 15
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D.G. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2004 91 110
    • (2004) Int. J. Comput. Vis. , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 16
    • 24944451092 scopus 로고    scopus 로고
    • On space-time interest points
    • I. Laptev On space-time interest points Int. J. Comput. Vis. 64 2005 107 123
    • (2005) Int. J. Comput. Vis. , vol.64 , pp. 107-123
    • Laptev, I.1
  • 21
    • 84861170800 scopus 로고    scopus 로고
    • Probabilistic topic models
    • D.M. Blei Probabilistic topic models Commun. ACM 55 2012 77 84
    • (2012) Commun. ACM , vol.55 , pp. 77-84
    • Blei, D.M.1
  • 22
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann Unsupervised learning by probabilistic latent semantic analysis Mach. Learn. 42 2001 177 196
    • (2001) Mach. Learn. , vol.42 , pp. 177-196
    • Hofmann, T.1
  • 24
    • 84908125540 scopus 로고    scopus 로고
    • Near-duplicate subsequence matching between the continuous stream and large video dataset
    • C.-Y. Chiu, T.-H. Tsai, Y.-C. Liou, G.-W. Han, and H.-S. Chang Near-duplicate subsequence matching between the continuous stream and large video dataset IEEE Trans. Multimedia 16 2014 1952 1962
    • (2014) IEEE Trans. Multimedia , vol.16 , pp. 1952-1962
    • Chiu, C.-Y.1    Tsai, T.-H.2    Liou, Y.-C.3    Han, G.-W.4    Chang, H.-S.5
  • 26
    • 38749103565 scopus 로고    scopus 로고
    • Using incremental PLSI for threshold-resilient online event analysis
    • T.-C. Chou, and M.C. Chen Using incremental PLSI for threshold-resilient online event analysis IEEE Trans. Knowl. Data Eng. 20 2008 289 299
    • (2008) IEEE Trans. Knowl. Data Eng. , vol.20 , pp. 289-299
    • Chou, T.-C.1    Chen, M.C.2
  • 29
    • 54149116924 scopus 로고    scopus 로고
    • Comparison of dimension reduction methods for automated essay grading
    • T. Kakkonen, N. Myller, E. Sutinen, and J. Timonen Comparison of dimension reduction methods for automated essay grading Educ. Technol. Soc. 11 2008 275 288
    • (2008) Educ. Technol. Soc. , vol.11 , pp. 275-288
    • Kakkonen, T.1    Myller, N.2    Sutinen, E.3    Timonen, J.4
  • 31
    • 79953230442 scopus 로고    scopus 로고
    • Investigating task performance of probabilistic topic models: An empirical study of PLSA and LDA
    • Y. Lu, Q. Mei, and C. Zhai Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA Inf. Retr. 14 2011 178 203
    • (2011) Inf. Retr. , vol.14 , pp. 178-203
    • Lu, Y.1    Mei, Q.2    Zhai, C.3
  • 32
    • 33847715168 scopus 로고    scopus 로고
    • Effective image retrieval based on hidden concept discovery in image database
    • R. Zhang, and Z. Zhang Effective image retrieval based on hidden concept discovery in image database IEEE Trans. Image Process. 16 2007 562 572
    • (2007) IEEE Trans. Image Process. , vol.16 , pp. 562-572
    • Zhang, R.1    Zhang, Z.2
  • 39
    • 84883139909 scopus 로고    scopus 로고
    • Vocabulary reduction in bow representing by topic modeling
    • R. Fernandez-Beltran, R. Montoliu, and F. Pla Vocabulary reduction in bow representing by topic modeling IbPRIA'13 2013 648 655
    • (2013) IbPRIA'13 , pp. 648-655
    • Fernandez-Beltran, R.1    Montoliu, R.2    Pla, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.