Ilgin, Hakki Alparslan
(2005)
DCT Video Compositing with Embedded Zerotree Coding for Multi-Point Video Conferencing.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
In this thesis, DCT domain video compositing with embedded zerotree coding for multi-point video conferencing is considered. In a typical video compositing system, video sequences coming from different sources are composited into one video stream and sent using a single channel to the receiver points. There are mainly three stages of video compositing: decoding of incoming video streams, decimation of video frames, andencoding of the composited video. Conventional spatial domain video compositing requires transformations between the DCT and the spatial domains increasing the complexity of computations. The advantage of the DCT domain video compositing is that the decoding, decimation and encoding remain fully in the DCT domain resulting in faster processing time and better quality of the composited videos. The composited videos are encoded via a DCT based embedded zerotree coder which was originally developed for wavelet coding. An adaptive arithmetic coder is used to encode the symbols obtained from the DCT based zerotree codingresulting in embedded bit stream. By using the embedded zerotree coder the quality of the composited videos is improved when compared to a conventional encoder. An advanced versionof zerotree coder is also used to increase the performance of the compositing system. Another improvement is due to the use of local cosine transform to decrease the blocking effect at low bit rates. We also apply the proposed DCT decimation/interpolation for single stream video coding achieving better quality than regular encoding process at low bit rates. The bit rate control problem is easily solved by taking the advantage the embedded property of zerotree coding since the coding control parameter is the bit rate itself. We also achieve the optimum bit rate allocation among the composited frames in a GOP without using subframe layer bit rate allocation, since zerotree coding uses successive approximation quantization allowing DCT coefficients to be encoded in descending significance order.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
Creators | Email | Pitt Username | ORCID  |
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Ilgin, Hakki Alparslan | haist3@pitt.edu | HAIST3 | |
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ETD Committee: |
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Date: |
31 January 2005 |
Date Type: |
Completion |
Defense Date: |
3 December 2004 |
Approval Date: |
31 January 2005 |
Submission Date: |
19 November 2004 |
Access Restriction: |
5 year -- Restrict access to University of Pittsburgh for a period of 5 years. |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Electrical Engineering |
Degree: |
PhD - Doctor of Philosophy |
Thesis Type: |
Doctoral Dissertation |
Refereed: |
Yes |
Uncontrolled Keywords: |
adaptive aritmetic coding; bit rate control; DCT block transformation; DCT decimation/interpolation; DCT transcoding; embedded zerotree coding; hierarchical image coding; motion compensation; motion estimation; multi-point video conferencing; set partitioning in hierarchical trees; significance tree coding; successive approximation quantization; Video coding; video compositing |
Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-11192004-161024/, etd-11192004-161024 |
Date Deposited: |
10 Nov 2011 20:05 |
Last Modified: |
15 Nov 2016 13:51 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/9719 |
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