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Video Object Segmentation Based on Disparity

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Advances in Web and Network Technologies, and Information Management (APWeb 2009, WAIM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5731))

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Abstract

Disparity information enables a multi-layered representation of a video frame. But how to extract object attracting the users’ interest is still to be considered. Based on the definition and estimation of image disparity, we propose an approach to segment video objects for video conference. Chrominance, luminance, position and other information are introduced to compute the saliency map, and the edge information is used to obtain the disparity map. Combining with the disparity estimation results, the layer representing the most interested object that contains most of conspicuity values can be easily segmented. The experimental results demonstrate this algorithm is capable of segmenting video object from sequences quite effectively.

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References

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Author information

Authors and Affiliations

  1. Computer College of Science & Technology, Huazhong University of Science & Technology, Wuhan, 430074, China

    Ouyang Xingming & Wei Wei

Authors
  1. Ouyang Xingming
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  2. Wei Wei
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Editor information

Editors and Affiliations

  1. Hong Kong University of Science and Technology, Hong Kong

    Lei Chen

  2. Swinburne University of Technology, Melbourne, Australia

    Chengfei Liu

  3. Renmin Universty of China, China

    Xiao Zhang

  4. Renmin University China, China

    Shan Wang

  5. Dept. of Industrial Economics and Technology Management, NTNU, Norway

    Darijus Strasunskas

  6. NTNU, Norway

    Stein L. Tomassen

  7. AOL, China

    Jinghai Rao

  8. SAP Research China, China

    Wen-Syan Li

  9. Comp. Sci. and Eng. Dept., Arizona State University, 85287, Tempe, AZ

    K. Selçuk Candan

  10. Dickson Computer Systems, 7A Victory Avenue 4th floor, Homantin, Kln, P.O. Box, Hong Kong

    Dickson K. W. Chiu

  11. Zhejiang Gongshang University, China

    Yi Zhuang

  12. University of Colorado at Boulder, USA

    Clarence A. Ellis

  13. Kyonggi University, Korea

    Kwang-Hoon Kim

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xingming, O., Wei, W. (2009). Video Object Segmentation Based on Disparity. In: Chen, L., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2009 2009. Lecture Notes in Computer Science, vol 5731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03996-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-03996-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03995-9

  • Online ISBN: 978-3-642-03996-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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