Two dimensional singular value decomposition (2D-SVD) based video coding

Gu. Zhouye; Weisi Lin; Bu-sung Lee; Chiew Tong Lau; Manoranjan Paul

doi:10.1109/ICIP.2010.5650998

Two dimensional singular value decomposition (2D-SVD) based video coding

Gu. Zhouye, Weisi Lin, Bu-sung Lee, Chiew Tong Lau, Manoranjan Paul

Research output: Book chapter/Published conference paper › Conference paper › peer-review

8 Citations (Scopus)

36 Downloads (Pure)

Abstract

In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has beendemonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs. Moreover, the proposed codec performs well to deal with packet loss that is unavoidable in error-prone transmission. Therefore it is with advantages and good potential for wireless video applications such as mobile video calls and wireless surveillance.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	181-184
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2010.5650998
Publication status	Published - 2010
Event	ICIP 17th International Conference - Hong Kong, Hong Kong Duration: 26 Sept 2010 → 29 Sept 2010

Conference

Conference	ICIP 17th International Conference
Country/Territory	Hong Kong
Period	26/09/10 → 29/09/10

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10.1109/ICIP.2010.5650998

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@inproceedings{260daca3088f4e63974bf81d760dde47,

title = "Two dimensional singular value decomposition (2D-SVD) based video coding",

abstract = "In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has beendemonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs. Moreover, the proposed codec performs well to deal with packet loss that is unavoidable in error-prone transmission. Therefore it is with advantages and good potential for wireless video applications such as mobile video calls and wireless surveillance.",

keywords = "Open access version available, Low-complexity, Mobile video transmission, Two-dimensional singular value decomposition, Video coding",

author = "Gu. Zhouye and Weisi Lin and Bu-sung Lee and {Tong Lau}, Chiew and Manoranjan Paul",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2010. editor/s (773b) = Professor Wan-Chi Siu; Event dates (773o) = 26-29 September 2010; Parent title (773t) = IEEE International Conference on Image Processing. ISSNs: 1522-4880; ; ICIP 17th International Conference ; Conference date: 26-09-2010 Through 29-09-2010",

year = "2010",

doi = "10.1109/ICIP.2010.5650998",

language = "English",

pages = "181--184",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

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TY - GEN

T1 - Two dimensional singular value decomposition (2D-SVD) based video coding

AU - Zhouye, Gu.

AU - Lin, Weisi

AU - Lee, Bu-sung

AU - Tong Lau, Chiew

AU - Paul, Manoranjan

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2010. editor/s (773b) = Professor Wan-Chi Siu; Event dates (773o) = 26-29 September 2010; Parent title (773t) = IEEE International Conference on Image Processing. ISSNs: 1522-4880;

PY - 2010

Y1 - 2010

N2 - In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has beendemonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs. Moreover, the proposed codec performs well to deal with packet loss that is unavoidable in error-prone transmission. Therefore it is with advantages and good potential for wireless video applications such as mobile video calls and wireless surveillance.

AB - In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has beendemonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs. Moreover, the proposed codec performs well to deal with packet loss that is unavoidable in error-prone transmission. Therefore it is with advantages and good potential for wireless video applications such as mobile video calls and wireless surveillance.

KW - Open access version available

KW - Low-complexity

KW - Mobile video transmission

KW - Two-dimensional singular value decomposition

KW - Video coding

U2 - 10.1109/ICIP.2010.5650998

DO - 10.1109/ICIP.2010.5650998

M3 - Conference paper

SP - 181

EP - 184

BT - IEEE International Conference on Image Processing

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - ICIP 17th International Conference

Y2 - 26 September 2010 through 29 September 2010

ER -

Two dimensional singular value decomposition (2D-SVD) based video coding

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