|Table of Contents|

[1] Wang Chong, Zhao Li, Zou Cairong,. Perceptual video coding method based on JND and AR model [J]. Journal of Southeast University (English Edition), 2010, 26 (3): 384-388. [doi:10.3969/j.issn.1003-7985.2010.03.003]
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Perceptual video coding method based on JND and AR model()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
26
Issue:
2010 3
Page:
384-388
Research Field:
Information and Communication Engineering
Publishing date:
2010-09-30

Info

Title:
Perceptual video coding method based on JND and AR model
Author(s):
Wang Chong Zhao Li Zou Cairong
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
Keywords:
perceptual video coding texture synthesis just-noticeable-distortion AR model
PACS:
TN911.73
DOI:
10.3969/j.issn.1003-7985.2010.03.003
Abstract:
In order to achieve better perceptual coding quality while using fewer bits, a novel perceptual video coding method based on the just-noticeable-distortion(JND)model and the auto-regressive(AR)model is explored. First, a new texture segmentation method exploiting the JND profile is devised to detect and classify texture regions in video scenes. In this step, a spatial-temporal JND model is proposed and the JND energy of every micro-block unit is computed and compared with the threshold. Secondly, in order to effectively remove temporal redundancies while preserving high visual quality, an AR model is applied to synthesize the texture regions. All the parameters of the AR model are obtained by the least-squares method and each pixel in the texture region is generated as a linear combination of pixels taken from the closest forward and backward reference frames. Finally, the proposed method is compared with the H.264/AVC video coding system to demonstrate the performance. Various sequences with different types of texture regions are used in the experiment and the results show that the proposed method can reduce the bit-rate by 15% to 58% while maintaining good perceptual quality.

References:

[1] ISO/IEC 15444-1 Team. Our new standard [EB/OL].(2000-03-11)[2010-04-20]. http://www.jpeg.org/jpeg2000/.
[2] Wikipedia. H.264/MPEG-4 AVC [EB/OL].(2003-11-25)[2010-04-20]. http://en.wikipedia.org/wiki/H.264/.
[3] Ndjiki-Nya P, Wiegand T. Video coding using texture analysis and synthesis [C]//Proceedings of Picture Coding. Saint-Malo, France, 2003: 489-497.
[4] Zhang Y, Ji X, Zhao D, et al. Video coding by texture analysis and synthesis using graph cut [C]//Proceedings of Pacific-Rim Multimedia Conference. Heidelberg, Germany, 2006: 582-589.
[5] Zhu C, Sun X, Wu F, et al. Video coding with spatio-temporal texture synthesis[C]//Proceedings of the IEEE International Conference on Multimedia and Expo. Beijing, China, 2007:112-115.
[6] Yang X K, Ling W S, Lu Z K. Just noticeable distortion model and its applications in video coding [J]. Signal Processing: Image Communication, 2005, 20(7): 662-680.
[7] Wu X, Barthel K U, Zhang W. Piecewise 2D auto-regression for predictive image coding [C]//Proceedings of the IEEE International Conference on Image Processing. Chicago, USA, 1998: 901-904.
[8] Tugnait J K. Texture synthesis using asymmetric 2-D noncausal AR models [C]//Proceedings of the IEEE International Conference on Image Processing. South Lake Tahoe, USA, 1993: 71-75.
[9] Chou C H, Li Y C. A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile [J]. IEEE Transactions on Circuits System and Video Technology, 1995, 5(12): 467-476.
[10] Yang X, Lin W, Lu Z, et al. Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile [J]. IEEE Transactions on Circuits System and Video Technology, 2005, 15(6): 742-752.
[11] Safranek R J, Johnston J D. A perceptually tuned subband image coder with image dependent quantization and post-quantization data compression [C]//Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Glasgow Scotland, UK, 1989:1945-1948.
[12] Watson A B, Yang G Y, Solomon J A, et al. Visibility of wavelet quantization noise [J]. IEEE Transactions on Image Processing, 1997, 6(8): 1164-1175.
[13] Watson A B. Perceptual optimization of DCT color quantization matrices [C]//Proceedings of IEEE International Conference on Image Processing. Austin, USA, 1994:100-104.
[14] Lubin J. A visual system discrimination model for imaging system design and evaluation [J]. Vision Models for Target Detection and Recognition, 1995, 6(15): 245-283.
[15] Netravali A N, Prasada B. Adaptive quantization of picture signals using spatial masking [J]. IEEE Transactions on Signal Processing, 1977, 65(4): 536-548.
[16] Chou C H, Chen C W. A perceptually optimized 3-D subband codec for video communication over wireless channels [J]. IEEE Transactions on Circuits System and Video Technology, 1996, 6(4): 143-156.

Memo

Memo:
Biography: Wang Chong(1982—), male, doctor, lecturer, wangchong219@163.com.
Foundation item: The National Natural Science Foundation of China(No.60472058, 60975017).
Citation: Wang Chong, Zhao Li, Zou Cairong. Perceptual video coding method based on JND and AR model[J].Journal of Southeast University(English Edition), 2010, 26(3):384-388.
Last Update: 2010-09-20