Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Real-time high-resolution downsampling algorithm on many-core processor for spatially scalable video coding

    Access Status
    Fulltext not available
    Authors
    Buhari, A.
    Ling, Huo Chong
    Baskaran, V.
    Wong, K.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Buhari, A. and Ling, H.C. and Baskaran, V. and Wong, K. 2015. Real-time high-resolution downsampling algorithm on many-core processor for spatially scalable video coding. Journal of Electronic Imaging. 24 (1).
    Source Title
    Journal of Electronic Imaging
    DOI
    10.1117/1.JEI.24.1.013025
    ISSN
    1017-9909
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/72593
    Collection
    • Curtin Research Publications
    Abstract

    © 2015 SPIE and IS and T. The progression toward spatially scalable video coding (SVC) solutions for ubiquitous endpoint systems introduces challenges to sustain real-time frame rates in downsampling high-resolution videos into multiple layers. In addressing these challenges, we put forward a hardware accelerated downsampling algorithm on a parallel computing platform. First, we investigate the principal architecture of a serial downsampling algorithm in the Joint-Scalable-Video-Model reference software to identify the performance limitations for spatially SVC. Then, a parallel multicore-based downsampling algorithm is studied as a benchmark. Experimental results for this algorithm using an 8-core processor exhibit performance speedup of 5.25× against the serial algorithm in downsampling a quantum extended graphics array at 1536p video resolution into three lower resolution layers (i.e., Full-HD at 1080p, HD at 720p, and Quarter-HD at 540p). However, the achieved speedup here does not translate into the minimum required frame rate of 15 frames per second (fps) for real-time video processing. To improve the speedup, a many-core based downsampling algorithm using the compute unified device architecture parallel computing platform is proposed. The proposed algorithm increases the performance speedup to 26.14× against the serial algorithm. Crucially, the proposed algorithm exceeds the target frame rate of 15 fps, which in turn is advantageous to the overall performance of the video encoding process.

    Related items

    Showing items related by title, author, creator and subject.

    • Model based methods for locating, enhancing and recognising low resolution objects in video
      Kramer, Annika (2009)
      Visual perception is our most important sense which enables us to detect and recognise objects even in low detail video scenes. While humans are able to perform such object detection and recognition tasks reliably, most ...
    • Video foreground extraction for mobile camera platforms
      Leoputra, Wilson Suryajaya (2009)
      Foreground object detection is a fundamental task in computer vision with many applications in areas such as object tracking, event identification, and behavior analysis. Most conventional foreground object detection ...
    • Human animation from analysis and reconstruction of human motion in video sequences
      Zhang, Li (2009)
      This research aims to address one of the most challenging problems in the field of computer vision and computer graphics, that is, the reconstruction of smooth 3D human motions from monocular video containing unrestricted ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.