research-article

Decoding-workload-aware video encoding

Authors:

Yicheng Huang,

Guangming Hong,

Vu An Tran,

Ye WangAuthors Info & Claims

NOSSDAV '08: Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video

Pages 45 - 50

https://doi.org/10.1145/1496046.1496057

Published: 28 May 2008 Publication History

Get Access

Abstract

This paper presents a novel decoding-workload-aware video encoding scheme. It takes raw video data and decoding workload constraint of a mobile client as input and generates a video bitstream which matches such a constraint while striving to achieve the best video quality. For a given constraint, the best overall video quality of the encoded bitstream is selected with a tradeoff between spatial and temporal distortions. The main contributions of this paper include: 1) the proposal of an efficient scheme which selects the most suitable target frame rate before the actual encoding; 2) The design of a workload control (analogous to the rate control) scheme which ensures an accurate control of the decoding workload when the bitstream is generated using the proposed encoding scheme. Experimental results demonstrate the feasibility and performance of the proposed scheme.

References

[1]

Y. Huang, V. Tran, Y. Wang, "A Workload Predication Model for Decoding MPEG Video and its Application to Workload-scalable Transcoding", ACM Multimedia Conference, pp. 952--961, September, 2007.

Digital Library

Google Scholar

[2]

M. Bonuccelli, F. Lonetti, F. Martelli, "Temporal Transcoding for Mobile Video Communication", the second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, pp. 18--29, March, 2005.

Digital Library

Google Scholar

[3]

K. Ngan, T. Meier, Z. Cheng, "Improved Single-video Object Rate Control for MPEG-4", Circuits and Systems for Video Technology, IEEE Transactions on, pp. 385--393, May, 2003.

Digital Library

Google Scholar

[4]

http://tcpmp.corecodec.org.

Google Scholar

[5]

T. Austin, E. Larson, D. Ernst, "Simplescalar:An infrastructure for computer system modeling", IEEE Computer, pp. 59--67, 2002.

Digital Library

Google Scholar

Index Terms

Decoding-workload-aware video encoding
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Modeling and simulation

Recommendations

Video encoding and transcoding using machine learning
MDM '08: Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008

Machine learning has been widely used in video analysis and search applications. In this paper, we describe a non-traditional use of machine learning in video processing - video encoding and transcoding. Video encoding and transcoding are ...
3D Searchless Fractal Video Encoding at Low Bit Rates

The development of compression techniques is crucial for several applications that require efficient storage and transmission of large data volumes. Fractal theory has been used in image and video compression due to advantages such as resolution ...
Sorting Rates in Video Encoding Process for Complexity Reduction

The motion estimation process and coding mode selection are responsible for a large portion of the computational effort in H.264-based video encoding systems optimized for rate-distortion (RD). This paper presents a rate sorting and truncation strategy ...

Comments

Information & Contributors

Information

Published In

NOSSDAV '08: Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video

May 2008

145 pages

ISBN:9781605581576

DOI:10.1145/1496046

Program Chairs:
Carsten Griwodz
Simula Research Laboratory, Norway
,
Lars Wolf
Technische Universität Braunschweig, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 May 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

NOSSDAV '08

Sponsor:

SIGMM

NOSSDAV '08: The 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video

May 28 - 30, 2008

Braunschweig, Germany

Acceptance Rates

Overall Acceptance Rate 118 of 363 submissions, 33%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
97
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Index Terms

Recommendations

Video encoding and transcoding using machine learning

3D Searchless Fractal Video Encoding at Low Bit Rates

Sorting Rates in Video Encoding Process for Complexity Reduction

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Login options

Full Access

PDF

eReader

Abstract

References

Index Terms

Recommendations

Video encoding and transcoding using machine learning

3D Searchless Fractal Video Encoding at Low Bit Rates

Sorting Rates in Video Encoding Process for Complexity Reduction

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations