Research of Compatibility Quality Objective Evaluation Method of H.264 Video Codec Based on Compatibility Matrix

Abstract:

To evaluate the compatibility quality of various H.264 codecs, and promote H.264 codec benign competition in the market, this paper proposes an objective evaluation method. Firstly, this method adopts video distributor, video capture card and other facilities to collect two-way videos, one of which is reference video, and the other is the video encoded and decoded respectively; Then it utilizes SSIM algorithm to find "the best similar frame" between the two videos in order to solve the problem of “Homologous Asynchronous”; Finally, it establishes codec compatibility matrix which can objectively evaluate codec compatibility quality using the proposed five indexes. Experiments show that the proposed method is simple, and can effectively evaluate codec compatibility quality. 

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 5582-5586
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.5582
• Online since: May 2014
• Authors: Jian Ru Zhang*, Kai Du, Hao Tian, Yong Feng Ju
• Keywords: Codec, Compatibility, H.264, Objective Evaluation, Structure Similarity

References

[1] Tong Yubing, Zhang Qishan, Qi Yunping. Image quality assessing by combining PSNR with SSIM [J]. Journal of Image and Graphics, 2006, 12, 11(12): 1758-1763.

[2] Ding Xuxing, Zhu Rihong, Li Jianxin. A criterion of image quality assessment based on property of HVS [J]. Journal of Image and Graphics, 2004, 9(2): 190-194.

[3] Du Baichaun, Zhou Yi. The first test case of MPEG2/DVB/digital satellite TV system codec at home [J]. Radio and TV Information, 1996, 12, P5.

[4] H. Bekkouche and M. Barret, Comparison of lossless codecs for satellite and MRI medical images, Proceedings of the XI European Signal Processing Conference Toulouse, France (September 2002).

[5] Dr. Dmitriy Vatolin. [1-6]-st MPEG-4 AVC/H. 264 codecs Comparison. [Online] Available: http: /www. compression. ru/ video/codec comparison/index_en. html.

[6] Till Halbach. Comparison of open and free video compression systems. International Conference on Imaging Theory and Applications, (2009).

[7] Z. Wang, A. C. Bovik and H. R. Sheikh Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, vol. 13, no. 4, p.600–612, (2004).

DOI: 10.1109/tip.2003.819861

[8] Z. Wang, H. R. Sheikh, and A. C. Bovik, Objective video quality assessment, in The Handbook of Video Databases: Design and Applications, B. Furht and O. Marques, Eds. Boca Raton, FL: CRC Press, (2003).

[9] Z. Wang, L. Lu, and A. C. Bovik, Video quality assessment using structural distortion measurement, in Proc. IEEE Int. Conf. Image Proc., vol. 3, (Rochester), 65–68, Sept. (2002).