Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525675
Title: Enhancements & optimizations to H.264/AVC video coding
Author: Li, Xiongwen
ISNI:       0000 0001 2438 4166
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2007
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
The H.264/AVC video coding standard offers enhanced performance compared to previous coding standards in terms of both rate-distortion (R-D) performance and functionality. In particular, its superior rate-distortion performance has resulted in a significant interest in its practical application in many different domains ranging from multimedia to security and surveillance. As a result in the recent past many successful research attempts have been made in further improving its efficiency and extending its application domains. This thesis provides two novel contributions: an object-based extension that is capable of extending H.264/AVC's effective use in video surveillance applications and a multi-objective optimization framework that can be used to enhance H.264/AVC's use in any general application area.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.525675  DOI: Not available
Share: