Google challenge: Incremental-learning for web video categorization on robust semantic feature space

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 1113-1114

  Song, Yi Cheng ^a,b   Zhang, Yong Dong ^a   Zhang, Xu ^a,b   Cao, Juan ^a   Li, Jing Tao ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

n ISVM; Web video categorization; Wikipedia propagation

Indexed keywords

CONCEPT CORRELATION; DATA SETS; FIXED NUMBERS; INCREMENTAL LEARNING; INCREMENTAL SUPPORT VECTOR MACHINE; OTHER ALGORITHMS; SEMANTIC FEATURES; SEMANTIC GAP; SEMANTIC SPACE; SUPPORT VECTOR; VIDEO SHARING; WEB VIDEO; WIKIPEDIA; YOUTUBE;

METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; SEMANTICS; SUPPORT VECTOR MACHINES; TECHNICAL PRESENTATIONS;

LEARNING ALGORITHMS;

EID: 72449148682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631524     Document Type: Conference Paper

References (4)

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2. K. a. H. Nakayama, T. and Nishio, S., Wikipedia Mining - Wikipedia as a Corpus for Knowledge Extraction, in Proceedings of Annual Wikipedia Conference (Wikimania), 2008.
3. L. Pavel, G. Christian, K. Stefan, ger, M. Klaus-Robert, and ller, Incremental Support Vector Learning: Analysis, Implementation and Applications, J. Mach. Learn. Res., vol. 7, pp. 1909-1936, 20.
4. T.S Chua, J.H. Tang, R. C. Hong, H.J. Li, Z.P. Luo, and Y.T Zheng. NUS-WIDE: A Real-World Web Image Database from National University of Singapore, ACM International Conference on Image and Video Retrieval. Greece, 2009.