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Hybrid Layered Video Encoding for Mobile Internet-Based Computer Vision and Multimedia Applications

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Mobile Multimedia Processing (WMMP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5960))

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Abstract

Mobile networked environments are typically resource constrained in terms of the available bandwidth and battery capacity on mobile devices. Real-time video applications entail the analysis, storage, transmission, and rendering of video data, and are hence resource-intensive. Since the available bandwidth in the mobile Internet is constantly changing, and the battery life of a mobile video application decreases with time, it is desirable to have a video representation scheme that adapts dynamically to the available resources. A Hybrid Layered Video (HLV) encoding scheme is proposed, which comprises of content-aware, multi-layer encoding of texture and a generative sketch-based representation of the object outlines. Different combinations of the texture- and sketch-based representations result in distinct video states, each with a characteristic bandwidth and power consumption profile. The proposed HLV encoding scheme is shown to be effective for mobile Internet-based multimedia applications such as background subtraction, face detection, face tracking and face recognition on resource-constrained mobile devices.

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Bhandarkar, S.M., Chattopadhyay, S., Garlapati, S.S. (2010). Hybrid Layered Video Encoding for Mobile Internet-Based Computer Vision and Multimedia Applications. In: Jiang, X., Ma, M.Y., Chen, C.W. (eds) Mobile Multimedia Processing. WMMP 2008. Lecture Notes in Computer Science, vol 5960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12349-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-12349-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12348-1

  • Online ISBN: 978-3-642-12349-8

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