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Title: Fitting and tracking of a scene model in very low bit rate video coding
Author: Antoszczyszyn, Paul
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1998
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In the contemporary world communication technology has an immense influence on the way we work and behave. For many years now the telephone has been the most commonly used means of interactive communication. Recently, due to the standardisation and commercial application of moving image compression techniques (MPEG, MPEG-II, H.263, H.263+) and the ever increasing power of personal computers, the interest in interactive video communication (videophone) applications has grown considerably. Most of the research concerning video compression techniques avoids the topic of extremely low bit rates (required e.g. for mobile communication). There is currently no technique dedicated to encoding the video for such low data rates (below 10 kbit/s). In most cases a reduction in frame-rate and heavy quantisation would be applied to an existing algorithm designed for a higher data rate. The resulting artefacts would in many cases prevent the recognition of the speaker in a head-and-shoulders scene. In recent years, due to the development of the MPEG-IV standard, there has been a growing interest in model based video coding techniques with algorithms utilising semantic knowledge (wire-frame models) about the scene offering the highest compression ratio. This thesis describes an investigation into the topic of semantic model based coding of typical videophone scenes (head-and-shoulders and head-only). New techniques for automatic fitting of the semantic wire-frame are described and tested. Finally a new algorithm for automatic tracking and a unified approach to both fitting and tracking are presented. Due to very encouraging feedback from other researchers working in the same area, it was possible to publish the results of investigations described in this thesis in 14 journal and conference papers. These are listed at the end of this thesis and one of the published papers is included.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available