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Foveation-Based Video Coding

  • Author / Creator
    Mohammadkhani, Mahsa
  • We designed independent perceptual video compression that can work with all the available video coding standards. We used fovea as the Human Visual System (HVS) properties in this thesis. In this thesis, first, we describe and compare two available foveation techniques used for images. After finding the pros and cons of the techniques, we improve one of the single-fovea techniques for video compression so that it preserves the quality of videos better compared to conventional video coding. Finally, we compare our technique with four foveation-based objective metrics for nine different video contents and different parameters, and in order to improve the evaluation assessment, we did two subjective tests to hear the users opinion about the video results.

  • Subjects / Keywords
  • Graduation date
    2014-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3J67J
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Cheng, Irene (Computing Science)
    • Basu, Anup (Computing Science)
  • Examining committee members and their departments
    • Ray, Nilanjan (Computing Science)