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...

Full description

Bibliographic Details
Main Author: Sun, Jin.
Other Authors: Zhu Ce
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49900
_version_ 1824455122059526144
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