Technological advances in telecommunications and computing power have driven a massive increase in the availability of digital video, both in the traditional broadcast environment and in on-demand scenarios such as the internet and IPTV. In order to support this increase video compression technologies have developed both to reduce bitrates but also to utilise the additional computing power available. The next step for video compression is commonly thought to be in exploitation of the Human Visual System (HVS) in perceptual coding, although this continues to suffer from the difficulty of evaluating the quality of compressed video. This thesis proposes a perceptual video compression framework - from quality estimation, through gaze estimation to variable quality coding.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:503925 |
| Date | January 2009 |
| Creators | Davies, Sam J. C. |
| Publisher | University of Bristol |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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