Vamsi Krishna Vegunta

University of Texas, Arlington

Vamsikrishna.vegunta@mavs.uta.edu

AVS CHINA High technology license fees have kept the Chinese

consumer electronics industry in chains. A new audio and video compression standard will set it free.

China’s Own Digital Video Standard.

Audio Video Coding Standard of China.

Better than many of today’s video standards.

Low-cost alternative to other standards.

Consumers worldwide will pay less for DVD players and IPTV programs .

AVS PARTS Parts Content

Part 1 System for Broadcasting

Part 2 SD/HD Video

Part 3 Audio

Part 4 Conformance Test

Part 5 Reference Software

Part 6 Digital Right Management

Part 7 Mobility Video

Part 8 System over IP

Part 9 File Format

Table 1. AVS Parts [2]

AVS VIDEO PROFILES

AVS-China consists of four profiles targeting to different applications .

1. AVS-video Jizhun profile (base profile)

2. AVS-video Jiben profile (basic profile)

3. AVS-Shenzhan profile (extended profile)

4. AVS-Jiaqiang profile (enhanced profile)

AVS VIDEO PROFILES-APPLICATIONS

Profiles Key Applications

Jizhun profile Television broadcasting, HDTV

Jiben profile Mobility applications

Shenzhan profile Video surveillance

Jiaqiang profile Multimedia entertainment

Table 2. AVS Video Profile Applications [2]

VIDEO QUALITY EVALUATION

PSNR(Peak signal to noise ratio):

The PSNR is most commonly used as a measure of quality of reconstruction. The signal in this case is the original data, and the noise is the error introduced by compression . A higher PSNR would normally indicate that the reconstruction is of higher quality

MSE(Mean squared error):

one of many ways to quantify the difference between values implied by an estimator and the true values of the quantity being estimated . MSE measures the average of the squares of the "errors" . An MSE of zero, meaning that the estimator predicts observations of the parameter with perfect accuracy, is the ideal, but is practically never possible.

SSIM(Structural Similarity):

A method for measuring the similarity between two images, in other words, the measuring of image quality based on an initial uncompressed or distortion-free image as reference. SSIM is designed to improve on traditional methods like peak signal-to-noise ratio (PSNR) and mean squared error (MSE).

AVS Encoder

Fig 1. AVS Encoder [5]

AVS Decoder

Fig 2. AVS Decoder [5]

References: 1. AVS Official Website: http://www.avs.org.cn/en/ 2. L.Yu, S.Chen and J.Wang, Overview of AVS-video coding standards, Signal Processing: Image

Communication, Vol 24, Issue 4, Special Issue on AVS and its Application, April 2009, Pages 247-262, ISSN 0923-5965, DOI: 10.1016/j.image.2009.02.003.

3. K.R.Rao and D Ny Kim, "Current video coding standards: H.264/AVC, Dirac, AVS China and VC-1," System Theory (SSST), 2010 42nd Southeastern Symposium on , vol., no., pp.1-8, 7-9 March 2010 doi: 10.1109/SSST.2010.5442824

4. http://spectrum.ieee.org/consumer-electronics/standards/why-china-wants-its-own-digital-video-standard - IEEE Spectrum Online Edition

5. http://www.avs.org.cn/reference/AVS%20NAB%20Paper%20Final03.pdf- AVS Document 6. L.Fan et al, “Overview of AVS Video Standard”, IEEE International conference on multimedia

and expo, pp. 423 - 426, vol. 1, June 2004. 7. Special issue on 'AVS and its Applications' Signal Processing: Image Communication, vol. 24,

pp. 245-344, April 2009. 8. W.Gao, K.N. Ngan and L.Yu “Special issue on AVS and its applications: Guest editorial”,

Signal Process: Image Commun, vol. 24, Issue 4, pp 245-344, April 2009. 9. R. Schafer and T. Sikora, “Digital video coding standards and their role in video

communications”, Proc. of the IEEE, vol. 83, pp. 907-924, June 1995. 10. M.Liu and Z.Wei “A fast mode decision algorithm for intra prediction in AVS-M video

coding” Volume 1, ICWAPR apos;07, Issue, 2-4, pp.326 –331, Nov. 2007. 11. UTA EE MPL Website- http://www-ee.uta.edu/Dip/Courses/EE5359/index.html

References Contd.. 12. S.Hu, X.Zhang and Z.Yang, “Efficient Implementation of Interpolation for AVS”, Image and

Signal Processing, 2008. Volume 3, pp.133 – 138,May 2008, 13. X. Jin et al, “Platform-independent MB-based AVS video standard implementation”, Signal

Processing: Image Communication, Vol. 24, Issue 4, pp. 312-323, April 2009. 14. W. Gao et al, “Context-based entropy coding in AVS video coding standard”, Signal

Processing: Image Communication, Vol. 24, Issue 4, pp. 263-276, April 2009. 15. Guo-An Su et al ,“Low-Cost Hardware-Sharing Architecture of Fast 1-D Inverse Transforms

for H.264/AVC and AVS Applications”, IEEE Trans. on Circuits and Systems II: Express Briefs, Vol. 55, Issue 12, pp.1249 – 1253, Dec. 2008.

16. W. Gao et al , “A Real-Time Full Architecture for AVS Motion Estimation”, IEEE Trans. on Consumer Electronics, Vol. 53, Issue 4, pp. 1744 –1751, Nov. 2007.

17. B. Tang et al,“ AVS Encoder Performance and Complexity Analysis Based on Mobile Video Communication”, WRI International conference on Communications and Mobile Computing, CMC '09, Vol. 3, pp. 102 – 107, . 6-8 Jan. 2009.

18. X. Wang and D. Zhao “Performance comparison of AVS and H.264/AVC video coding standards”, J. Comput. Sci. & Technol., Vol.21, No.3, pp.310-314, May 2006.

19. Zhang and L. Yu “An area-efficient VLSI architecture for AVS intra frame encoder”, Visual Communications and Image Processing 2007, Proc. of SPIE-IS & T Electronic Imaging, SPIE vol. 6508, pp. 650822, Jan. 29, 2007.

AVS VIDEO PROFILES-APPLICATIONS

Profiles Key Applications

Jizhun profile Television broadcasting, HDTV

Jiben profile Mobility applications

Shenzhan profile Video surveillance

Jiaqiang profile Multimedia entertainment

Table 2. AVS video profile applications [2]