Advanced video coding based on matrix decomposition

Video coding has been widely used in everyday work and life. Most of the video coding technologies are based on a set of principles that reduce the redundancy in digital video, including mainly temporal, spatial and statistical redundancies. In this study, we explore new methodology for further r...

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Main Author: Gu, Zhouye
Other Authors: Lin Weisi
Format: Theses and Dissertations
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/55344
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-553442023-03-04T00:45:40Z Advanced video coding based on matrix decomposition Gu, Zhouye Lin Weisi School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory Video coding has been widely used in everyday work and life. Most of the video coding technologies are based on a set of principles that reduce the redundancy in digital video, including mainly temporal, spatial and statistical redundancies. In this study, we explore new methodology for further redundancy reduction. Combining the matrix decomposition algorithms, we have proposed three matrix decomposition based techniques that further enhance compression performance, when compared with the relevant state of the art technology. Firstly, we propose a temporal redundancy reduction scheme based upon Two-Dimensional Singular Value Decomposition (2D-SVD) without resorting to motion estimation (ME). Its computational complexity is much lower than that of ME-based video coding scheme. By exploring the energy compaction property of 2D-SVD coefficient matrices, high coding efficiency is achieved compared with other non-ME based methods. Secondly, for spatial redundancy reduction, the existing video codecs use Discrete Cosine Transform (DCT), which is originally designed based on the spatial characteristic of natural image pixels, for predicted residual pixels compression; Since the spatial characteristic of predicted residual pixels differs from that of natural image pixels, we develop a new orthogonal transform—Rotated Orthogonal Transform (ROT) that yields better compression on the prediction residual than the DCT. Lastly, for statistical redundancy reduction, the entropy coders that originally designed for lossy video coding are also used for lossless video coding in the current standard video coding scheme. Since the coefficients generated by lossy and lossless coding processes have different statistical distributions, we therefore propose a new methodology based on Mode Dependent Template (MD-Template) and scan order for better intra lossless video coding. The algorithms proposed in this thesis are developed from three different matrix decomposition problems. The have been validated on a large number of standard video sequences. We have performed careful experimental analysis and demonstrated that the proposed techniques overall perform better than the existing relevant methods. DOCTOR OF PHILOSOPHY (SCE) 2014-02-11T06:29:03Z 2014-02-11T06:29:03Z 2012 2012 Thesis Gu, Z. (2012). Advanced video coding based on matrix decomposition. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/55344 10.32657/10356/55344 en 143 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
spellingShingle DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
Gu, Zhouye
Advanced video coding based on matrix decomposition
description Video coding has been widely used in everyday work and life. Most of the video coding technologies are based on a set of principles that reduce the redundancy in digital video, including mainly temporal, spatial and statistical redundancies. In this study, we explore new methodology for further redundancy reduction. Combining the matrix decomposition algorithms, we have proposed three matrix decomposition based techniques that further enhance compression performance, when compared with the relevant state of the art technology. Firstly, we propose a temporal redundancy reduction scheme based upon Two-Dimensional Singular Value Decomposition (2D-SVD) without resorting to motion estimation (ME). Its computational complexity is much lower than that of ME-based video coding scheme. By exploring the energy compaction property of 2D-SVD coefficient matrices, high coding efficiency is achieved compared with other non-ME based methods. Secondly, for spatial redundancy reduction, the existing video codecs use Discrete Cosine Transform (DCT), which is originally designed based on the spatial characteristic of natural image pixels, for predicted residual pixels compression; Since the spatial characteristic of predicted residual pixels differs from that of natural image pixels, we develop a new orthogonal transform—Rotated Orthogonal Transform (ROT) that yields better compression on the prediction residual than the DCT. Lastly, for statistical redundancy reduction, the entropy coders that originally designed for lossy video coding are also used for lossless video coding in the current standard video coding scheme. Since the coefficients generated by lossy and lossless coding processes have different statistical distributions, we therefore propose a new methodology based on Mode Dependent Template (MD-Template) and scan order for better intra lossless video coding. The algorithms proposed in this thesis are developed from three different matrix decomposition problems. The have been validated on a large number of standard video sequences. We have performed careful experimental analysis and demonstrated that the proposed techniques overall perform better than the existing relevant methods.
author2 Lin Weisi
author_facet Lin Weisi
Gu, Zhouye
format Theses and Dissertations
author Gu, Zhouye
author_sort Gu, Zhouye
title Advanced video coding based on matrix decomposition
title_short Advanced video coding based on matrix decomposition
title_full Advanced video coding based on matrix decomposition
title_fullStr Advanced video coding based on matrix decomposition
title_full_unstemmed Advanced video coding based on matrix decomposition
title_sort advanced video coding based on matrix decomposition
publishDate 2014
url https://hdl.handle.net/10356/55344
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