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Video Streaming to Mobile Handheld Devices: Challenges in Decoding, Adaptation, and Browsing

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Multimedia Content Analysis and Mining (MCAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4577))

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Abstract

Growing popularity and richer functionality of contemporary mobile handheld devices such as PDAs and smart phones have enabled emerging video streaming applications to these devices via various wireless networks. However, these handheld devices are significantly constrained by limited resources available to them for some sophisticated operations. Among these limitations, the available processing power has limited these devices to perform full scale decoding of the video compressed with H.264 standard [1], [2]. The typically small display size of the handheld devices has been imposing significant barriers for the devices users to enjoy high-resolution videos. This paper presents some challenges in design decoding algorithm for smart phones, in video adaptation to suit heterogeneous devises, in browsing videos via handheld devices by diverse mobile device users. Several approaches will be proposed to meet these challenges and to offer the mobile device users an enhanced experience in these emerging mobile video applications.

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Author information

Authors and Affiliations

  1. Department of Electrical & Computer Eng., Florida Institute of Technology, 150 W. University Blvd., Melbourne, FL 32901, USA

    Chang Wen Chen

  2. Dept. of EEIS, University of Science and Technology of China, Hefei, 230027, P.R. China

    Houqiang Li

Authors
  1. Chang Wen Chen
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  2. Houqiang Li
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Editor information

Nicu Sebe Yuncai Liu Yueting Zhuang Thomas S. Huang

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© 2007 Springer Berlin Heidelberg

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Chen, C.W., Li, H. (2007). Video Streaming to Mobile Handheld Devices: Challenges in Decoding, Adaptation, and Browsing. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_9

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  • DOI: https://doi.org/10.1007/978-3-540-73417-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73416-1

  • Online ISBN: 978-3-540-73417-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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