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Towards google challenge: combining contextual and social information for web video categorization

Published: 19 October 2009 Publication History

Abstract

Web video categorization is a fundamental task for web video search. In this paper, we explore the Google challenge from a new perspective by combing contextual and social information under the scenario of social web. The semantic meaning of text (title and tags), video relevance from related videos, and user interest induced from user videos, are integrated to robustly determine the video category. Experiments on YouTube videos demonstrate the effectiveness of the proposed solution. The performance reaches 60% improvement compared to the traditional text based classifiers.

References

[1]
D. Brezeale, and D. J. Cook. Automatic Video Classification: A Survey of the Literature. IEEE Trans. on Systems, Man, and Cybernetics, vol. 38, no. 3, May 2008, pp. 416--430.
[2]
L. Yang, J. Liu, X. Yang, and X.-S. Hua. Multi-Modality Web Video Categorization. MIR'07, pp. 265--274.

Cited By

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  • (2019)Video Categorisation Mimicking Text MiningAdvances in Computational Intelligence10.1007/978-3-030-20518-8_25(292-301)Online publication date: 16-May-2019
  • (2016)What Is Happening in the Video? —Annotate Video by SentenceIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.247581526:9(1746-1757)Online publication date: 1-Sep-2016
  • (2016)Group Feature Selection for Audio-Based Video Genre ClassificationProceedings, Part I, of the 22nd International Conference on MultiMedia Modeling - Volume 951610.1007/978-3-319-27671-7_3(29-41)Online publication date: 4-Jan-2016
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  1. Towards google challenge: combining contextual and social information for web video categorization

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      cover image ACM Conferences
      MM '09: Proceedings of the 17th ACM international conference on Multimedia
      October 2009
      1202 pages
      ISBN:9781605586083
      DOI:10.1145/1631272

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 19 October 2009

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      Author Tags

      1. categorization
      2. classification
      3. context
      4. social web
      5. web video

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      MM09
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      MM09: ACM Multimedia Conference
      October 19 - 24, 2009
      Beijing, China

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      Overall Acceptance Rate 995 of 4,171 submissions, 24%

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      The 32nd ACM International Conference on Multimedia
      October 28 - November 1, 2024
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      Cited By

      View all
      • (2019)Video Categorisation Mimicking Text MiningAdvances in Computational Intelligence10.1007/978-3-030-20518-8_25(292-301)Online publication date: 16-May-2019
      • (2016)What Is Happening in the Video? —Annotate Video by SentenceIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.247581526:9(1746-1757)Online publication date: 1-Sep-2016
      • (2016)Group Feature Selection for Audio-Based Video Genre ClassificationProceedings, Part I, of the 22nd International Conference on MultiMedia Modeling - Volume 951610.1007/978-3-319-27671-7_3(29-41)Online publication date: 4-Jan-2016
      • (2014)Text Detection in Multimodal Video AnalysisVideo Text Detection10.1007/978-1-4471-6515-6_9(221-246)Online publication date: 30-Jun-2014
      • (2013)Exploiting socially-generated side information in dimensionality reductionProceedings of the 2nd international workshop on Socially-aware multimedia10.1145/2509916.2509923(9-12)Online publication date: 21-Oct-2013
      • (2013)A new video search approach based on user's preference and query ambiguityProceedings of the 2013 International Conference on Information Networking (ICOIN)10.1109/ICOIN.2013.6496429(493-498)Online publication date: 28-Jan-2013
      • (2013)Recognizing human-human interaction activities using visual and textual informationPattern Recognition Letters10.1016/j.patrec.2012.10.02234:15(1840-1848)Online publication date: 1-Nov-2013
      • (2013)Multimodal genre classification of TV programs and YouTube videosMultimedia Tools and Applications10.1007/s11042-011-0923-x63:2(547-567)Online publication date: 1-Mar-2013
      • (2013)Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video CategorizationPart II of the Proceedings of the 9th International Conference on Advanced Data Mining and Applications - Volume 834710.1007/978-3-642-53917-6_1(1-12)Online publication date: 14-Dec-2013
      • (2013)Semi-supervised Clustering Ensemble for Web Video CategorizationMultiple Classifier Systems10.1007/978-3-642-38067-9_17(190-200)Online publication date: 2013
      • Show More Cited By

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