AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (714.8 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

GOP-Level Bit Allocation Using Reverse Dynamic Programming

Yang LUJun XIEHang LIHuijuan CUI( )
State Key Laboratory on Microwave and Digital Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Show Author Information

Abstract

An efficient adaptive group of pictures (GOP)-level bit allocation algorithm was developed based on reverse dynamic programming (RDP). The algorithm gives the initial delay and sequence distortion curve with just one iteration of the algorithm. A simple GOP-level rate and distortion model was then developed for two-level constant quality rate control. The initial delay values and the corresponding optimal GOP-level bit allocation scheme can be obtained for video streaming along with the proper initial delay for various distortion tolerance levels. Simulations show that the algorithm provides an efficient solution for delay and buffer constrained GOP-level rate control for video streaming.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 183-188

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
LU Y, XIE J, LI H, et al. GOP-Level Bit Allocation Using Reverse Dynamic Programming. Tsinghua Science and Technology, 2009, 14(2): 183-188. https://doi.org/10.1016/S1007-0214(09)70028-8

2

Views

0

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD

Received: 24 December 2007
Revised: 01 November 2008
Published: 01 April 2009
© Tsinghua University Press 2009