Gaussian model based approach to reducing DCT computations in H.264

Hanli WANG; Sam KWONG

doi:10.1109/ICASSP.2007.366114

Gaussian model based approach to reducing DCT computations in H.264

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

2 Citations (Scopus)

Abstract

This paper presents an efficient method to predict zero quantized DCT coefficients in order to reduce redundant computations in H.264 encoding. The Gaussian distribution is firstly applied to study the quantized integer DCT coefficients in H.264 and then an adaptive scheme with multiple thresholds is proposed to realize different types of DCT and quantization implementations. Compared with other approaches in the literature, the experimental results demonstrate that the proposed method can achieve the best performance in reducing computations and obtain almost the same rate-distortion performance as the original encoder. © 2007 IEEE.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing : Proceedings
Publisher	IEEE
Pages	I1141-I1144
Number of pages	4
ISBN (Print)	1424407273
DOIs	https://doi.org/10.1109/ICASSP.2007.366114
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing - Honolulu, United States Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	2007 IEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated title	ICASSP '07
Country/Territory	United States
City	Honolulu
Period	15/04/07 → 20/04/07

Keywords

Gaussian model
H.264
Integer DCT
Quantization

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10.1109/ICASSP.2007.366114

Cite this

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title = "Gaussian model based approach to reducing DCT computations in H.264",

abstract = "This paper presents an efficient method to predict zero quantized DCT coefficients in order to reduce redundant computations in H.264 encoding. The Gaussian distribution is firstly applied to study the quantized integer DCT coefficients in H.264 and then an adaptive scheme with multiple thresholds is proposed to realize different types of DCT and quantization implementations. Compared with other approaches in the literature, the experimental results demonstrate that the proposed method can achieve the best performance in reducing computations and obtain almost the same rate-distortion performance as the original encoder. {\textcopyright} 2007 IEEE.",

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author = "Hanli WANG and Sam KWONG",

year = "2007",

doi = "10.1109/ICASSP.2007.366114",

language = "English",

isbn = "1424407273",

pages = "I1141--I1144",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing : Proceedings",

publisher = "IEEE",

note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",

}

WANG, H & KWONG, S 2007, Gaussian model based approach to reducing DCT computations in H.264. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing : Proceedings. IEEE, pp. I1141-I1144, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, United States, 15/04/07. https://doi.org/10.1109/ICASSP.2007.366114

TY - GEN

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AU - WANG, Hanli

AU - KWONG, Sam

PY - 2007

Y1 - 2007

N2 - This paper presents an efficient method to predict zero quantized DCT coefficients in order to reduce redundant computations in H.264 encoding. The Gaussian distribution is firstly applied to study the quantized integer DCT coefficients in H.264 and then an adaptive scheme with multiple thresholds is proposed to realize different types of DCT and quantization implementations. Compared with other approaches in the literature, the experimental results demonstrate that the proposed method can achieve the best performance in reducing computations and obtain almost the same rate-distortion performance as the original encoder. © 2007 IEEE.

AB - This paper presents an efficient method to predict zero quantized DCT coefficients in order to reduce redundant computations in H.264 encoding. The Gaussian distribution is firstly applied to study the quantized integer DCT coefficients in H.264 and then an adaptive scheme with multiple thresholds is proposed to realize different types of DCT and quantization implementations. Compared with other approaches in the literature, the experimental results demonstrate that the proposed method can achieve the best performance in reducing computations and obtain almost the same rate-distortion performance as the original encoder. © 2007 IEEE.

KW - Gaussian model

KW - H.264

KW - Integer DCT

KW - Quantization

UR - http://www.scopus.com/inward/record.url?scp=34547512173&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2007.366114

DO - 10.1109/ICASSP.2007.366114

M3 - Conference paper (refereed)

SN - 1424407273

SP - I1141-I1144

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing : Proceedings

PB - IEEE

T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 15 April 2007 through 20 April 2007

ER -

Gaussian model based approach to reducing DCT computations in H.264

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Keywords

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