Advances in region-of-interest video and image processing

Dan Grois, Ofer Hadar

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Scopus citations

    Abstract

    The advent of cheaper and more powerful devices with the ability to play, create, and transmit video content has led to a dramatic increase in the multimedia content distribution on both wireline and wireless networks. Also, the reduction of cost of digital video cameras along with the development of user-generated video sites (e.g., iTunes™, YouTube™) stimulated a new user-generated video content sector and made unprecedented demands for high-quality and low-delay video communication. The Region-of-Interest (ROI) is a desirable feature in many future scalable video coding applications, such as mobile device applications, which have to be adapted to be displayed on a relatively small screen; thus, a mobile device user may wish to extract and track only a predefined ROI within the displayed video. At the same time, other users having a larger mobile device screen may wish to extract other ROIs to receive higher video stream resolution. Therefore, to fulfill these requirements, it would be beneficial to simultaneously transmit or store a video stream in a variety of ROIs, as well to enable efficiently tracking of the predefined Region-of-Interest. This chapter presents recent advances in Region-of-Interest video and image processing techniques for multimedia applications, while making a special emphasis on a scalable extension of the H.264/AVC standard. The detailed observations and conclusions, which are presented in this chapter, are supported by authors' personal experience in this field, thereby presenting a variety of experimental results.

    Original languageEnglish
    Title of host publicationMultimedia Networking and Coding
    PublisherIGI Global
    Pages76-123
    Number of pages48
    ISBN (Print)9781466626607
    DOIs
    StatePublished - 1 Dec 2012

    ASJC Scopus subject areas

    • General Computer Science

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