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Semi-automatic Video Content Annotation

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Advances in Multimedia Information Processing — PCM 2002 (PCM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2532))

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Abstract

Video modeling and annotating are indispensable operations necessary for creating and populating a video database. To annotate video data effectively and accurately, a video content description ontology is first proposed in this paper, we then introduce a semi-automatic annotation strategy which utilize various video processing techniques to help the annotator explore video context or scenarios for annotation. Moreover, a video scene detection algorithm which joints visual and semantics is proposed to visualize and refine the annotation results. With the proposed strategy, a more reliable and efficient video content description could be achieved. It is better than manual manner in terms of efficiency, and better than automatic scheme in terms of accuracy.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Purdue University, 47907, IN, USA

    Xingquan Zhu & Ahmed K. Elmagarmid

  2. Dept. of Computer Science, University of North Carolina at Charlotte, 28223, NC, USA

    Jianping Fan

  3. Dept. of Computer Science, Fudan University, 200433, Shanghai, China

    Xiangyang Xue & Lide Wu

Authors
  1. Xingquan Zhu
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  2. Jianping Fan
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  3. Xiangyang Xue
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  4. Lide Wu
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  5. Ahmed K. Elmagarmid
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

    Yung-Chang Chen

  2. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

    Long-Wen Chang  & Chiou-Ting Hsu  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Zhu, X., Fan, J., Xue, X., Wu, L., Elmagarmid, A.K. (2002). Semi-automatic Video Content Annotation. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_31

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  • DOI: https://doi.org/10.1007/3-540-36228-2_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00262-8

  • Online ISBN: 978-3-540-36228-9

  • eBook Packages: Springer Book Archive

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