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

  • HEVC
  • HVS
  • CVR transformation
  • Video
  • Cut-off frequency
  • Fovea
  • Human Visual System
  • High efficiency video coding
  • Video coding
  • Multiple Scaling Factors
  • Perceptual coding
  • Foveation

• Graduation date

  Fall 2014

• 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.