Study on statistical correlation exploitation in distributed video coding
Distributed coding is a new paradigm for video compression, based on Slepian and Wolf’s and Wyner and Ziv’s information-theoretic results from the 1970s. Distributed video coding (DVC), i.e., lossy compression with receiver side information, enables low-complexity video encoding where the bulk of th...
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Format: | Final Year Project (FYP) |
Language: | English |
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2012
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Online Access: | http://hdl.handle.net/10356/49900 |
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author | Sun, Jin. |
author2 | Zhu Ce |
author_facet | Zhu Ce Sun, Jin. |
author_sort | Sun, Jin. |
collection | NTU |
description | Distributed coding is a new paradigm for video compression, based on Slepian and Wolf’s and Wyner and Ziv’s information-theoretic results from the 1970s. Distributed video coding (DVC), i.e., lossy compression with receiver side information, enables low-complexity video encoding where the bulk of the computation is shifted to the decoder.However, compared to conventional motion-compensated interframe coding, distributed video coding (DVC) has a worse rate-distortion performance according to the existing works. The most important reason is that it is much more difficult to fully exploit the temporal correlation of the video sources by using motion estimation at the decoder where less information is available. Another reason is that conventional video coding adopt the entropy approaching tools to exploit the statistical correlation among the coefficients while existing DVC utilize only channel coding based Slepian-Wolf coding to exploit the statistical correlation. |
first_indexed | 2025-02-19T03:33:11Z |
format | Final Year Project (FYP) |
id | ntu-10356/49900 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2025-02-19T03:33:11Z |
publishDate | 2012 |
record_format | dspace |
spelling | ntu-10356/499002023-07-07T15:56:37Z Study on statistical correlation exploitation in distributed video coding Sun, Jin. Zhu Ce School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Distributed coding is a new paradigm for video compression, based on Slepian and Wolf’s and Wyner and Ziv’s information-theoretic results from the 1970s. Distributed video coding (DVC), i.e., lossy compression with receiver side information, enables low-complexity video encoding where the bulk of the computation is shifted to the decoder.However, compared to conventional motion-compensated interframe coding, distributed video coding (DVC) has a worse rate-distortion performance according to the existing works. The most important reason is that it is much more difficult to fully exploit the temporal correlation of the video sources by using motion estimation at the decoder where less information is available. Another reason is that conventional video coding adopt the entropy approaching tools to exploit the statistical correlation among the coefficients while existing DVC utilize only channel coding based Slepian-Wolf coding to exploit the statistical correlation. Bachelor of Engineering 2012-05-25T04:48:41Z 2012-05-25T04:48:41Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49900 en Nanyang Technological University 64 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Sun, Jin. Study on statistical correlation exploitation in distributed video coding |
title | Study on statistical correlation exploitation in distributed video coding |
title_full | Study on statistical correlation exploitation in distributed video coding |
title_fullStr | Study on statistical correlation exploitation in distributed video coding |
title_full_unstemmed | Study on statistical correlation exploitation in distributed video coding |
title_short | Study on statistical correlation exploitation in distributed video coding |
title_sort | study on statistical correlation exploitation in distributed video coding |
topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
url | http://hdl.handle.net/10356/49900 |
work_keys_str_mv | AT sunjin studyonstatisticalcorrelationexploitationindistributedvideocoding |