Fast video coding based on gaussian model of DCT coefficients

Hanli WANG; Sam KWONG; Chi-Wah KOK

doi:10.1109/ISCAS.2006.1692932

Fast video coding based on gaussian model of DCT coefficients

Hanli WANG, Sam KWONG, Chi-Wah KOK

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

11 Citations (Scopus)

Abstract

Discrete cosine transform (DCT), quantization (Q), inverse quantization (IQ) and inverse DCT (IDCT) are the building blocks in video coding standards. A lot of computations are required to perform the DCT, Q, IQ, and IDCT operations. With this concern, a novel statistical model based on Gaussian distribution is proposed to predict zero quantized DCT (ZQDCT) coefficients in this paper to reduce the computational complexity of video encoding. Compared with other widely used models in the literature, the proposed model can achieve the best real time performance. Experimental results demonstrate that the proposed statistical model is superior to others in terms of processing speed at the expense of negligible degradation of video quality. ©2006 IEEE.

Original language	English
Title of host publication	Proceedings of the 2006 IEEE International Symposium on Circuits and Systems
Publisher	IEEE
Pages	1703-1706
Number of pages	4
ISBN (Print)	0780393899
DOIs	https://doi.org/10.1109/ISCAS.2006.1692932
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Symposium on Circuits and Systems - Island of Kos, Greece Duration: 21 May 2006 → 24 May 2006

Symposium

Symposium	2006 IEEE International Symposium on Circuits and Systems
Abbreviated title	ISCAS 2006
Country/Territory	Greece
City	Island of Kos
Period	21/05/06 → 24/05/06

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10.1109/ISCAS.2006.1692932

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@inproceedings{206355094c7d4415a223712a22055a78,

title = "Fast video coding based on gaussian model of DCT coefficients",

abstract = "Discrete cosine transform (DCT), quantization (Q), inverse quantization (IQ) and inverse DCT (IDCT) are the building blocks in video coding standards. A lot of computations are required to perform the DCT, Q, IQ, and IDCT operations. With this concern, a novel statistical model based on Gaussian distribution is proposed to predict zero quantized DCT (ZQDCT) coefficients in this paper to reduce the computational complexity of video encoding. Compared with other widely used models in the literature, the proposed model can achieve the best real time performance. Experimental results demonstrate that the proposed statistical model is superior to others in terms of processing speed at the expense of negligible degradation of video quality. {\textcopyright}2006 IEEE.",

author = "Hanli WANG and Sam KWONG and Chi-Wah KOK",

year = "2006",

doi = "10.1109/ISCAS.2006.1692932",

language = "English",

isbn = "0780393899",

pages = "1703--1706",

booktitle = "Proceedings of the 2006 IEEE International Symposium on Circuits and Systems",

publisher = "IEEE",

note = "2006 IEEE International Symposium on Circuits and Systems, ISCAS 2006 ; Conference date: 21-05-2006 Through 24-05-2006",

}

TY - GEN

T1 - Fast video coding based on gaussian model of DCT coefficients

AU - WANG, Hanli

AU - KWONG, Sam

AU - KOK, Chi-Wah

PY - 2006

Y1 - 2006

N2 - Discrete cosine transform (DCT), quantization (Q), inverse quantization (IQ) and inverse DCT (IDCT) are the building blocks in video coding standards. A lot of computations are required to perform the DCT, Q, IQ, and IDCT operations. With this concern, a novel statistical model based on Gaussian distribution is proposed to predict zero quantized DCT (ZQDCT) coefficients in this paper to reduce the computational complexity of video encoding. Compared with other widely used models in the literature, the proposed model can achieve the best real time performance. Experimental results demonstrate that the proposed statistical model is superior to others in terms of processing speed at the expense of negligible degradation of video quality. ©2006 IEEE.

AB - Discrete cosine transform (DCT), quantization (Q), inverse quantization (IQ) and inverse DCT (IDCT) are the building blocks in video coding standards. A lot of computations are required to perform the DCT, Q, IQ, and IDCT operations. With this concern, a novel statistical model based on Gaussian distribution is proposed to predict zero quantized DCT (ZQDCT) coefficients in this paper to reduce the computational complexity of video encoding. Compared with other widely used models in the literature, the proposed model can achieve the best real time performance. Experimental results demonstrate that the proposed statistical model is superior to others in terms of processing speed at the expense of negligible degradation of video quality. ©2006 IEEE.

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U2 - 10.1109/ISCAS.2006.1692932

DO - 10.1109/ISCAS.2006.1692932

M3 - Conference paper (refereed)

SN - 0780393899

SP - 1703

EP - 1706

BT - Proceedings of the 2006 IEEE International Symposium on Circuits and Systems

PB - IEEE

T2 - 2006 IEEE International Symposium on Circuits and Systems

Y2 - 21 May 2006 through 24 May 2006

ER -

Fast video coding based on gaussian model of DCT coefficients

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