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
Pages	I1141-I1144
DOIs	https://doi.org/10.1109/ICASSP.2007.366114
Publication status	Published - 2007
Externally published	Yes

Keywords

Gaussian model
H.264
Integer DCT
Quantization

Access to Document

10.1109/ICASSP.2007.366114

Cite this

@inproceedings{06180bc5ec054731a1338672194e348c,

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.",

keywords = "Gaussian model, H.264, Integer DCT, Quantization",

author = "Hanli WANG and Sam KWONG",

year = "2007",

doi = "10.1109/ICASSP.2007.366114",

language = "English",

pages = "I1141--I1144",

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

}

TY - GEN

T1 - Gaussian model based approach to reducing DCT computations in H.264

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)

SP - I1141-I1144

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

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this