Video coding with H.264/AVC: tools, performance, and complexity
Top Cited Papers
- 2 August 2004
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Circuits and Systems Magazine
- Vol. 4 (1) , 7-28
- https://doi.org/10.1109/mcas.2004.1286980
Abstract
H.264/AVC, the result of the collaboration between the ISO/IEC Moving Picture Experts Group and the ITU-T Video Coding Experts Group, is the latest standard for video coding. The goals of this standardization effort were enhanced compression efficiency, network friendly video representation for interactive (video telephony) and non-interactive applications (broadcast, streaming, storage, video on demand). H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. Compared to previous standards, the decoder complexity is about four times that of MPEG-2 and two times that of MPEG-4 Visual Simple Profile. This paper provides an overview of the new tools, features and complexity of H.264/AVC.Keywords
This publication has 26 references indexed in Scilit:
- H.264/AVC baseline profile decoder complexity analysisIEEE Transactions on Circuits and Systems for Video Technology, 2003
- H.264/AVC over IPIEEE Transactions on Circuits and Systems for Video Technology, 2003
- The SP- and SI-frames design for H.264/AVCIEEE Transactions on Circuits and Systems for Video Technology, 2003
- Error resilient video coding by dynamic replacing of reference picturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Performance comparison of video coding standards using Lagrangian coder controlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Video coding with optimal inter/intra-mode switching for packet loss resilienceIEEE Journal on Selected Areas in Communications, 2000
- Feedback-based error control for mobile video transmissionProceedings of the IEEE, 1999
- Rate-distortion optimization for video compressionIEEE Signal Processing Magazine, 1998
- Rate-distortion methods for image and video compressionIEEE Signal Processing Magazine, 1998
- Custom Memory Management MethodologyPublished by Springer Nature ,1998