Browse > Article
http://dx.doi.org/10.5909/JBE.2016.21.6.929

A Perceptual Rate Control Algorithm with S-JND Model for HEVC Encoder  

Kim, JaeRyun (Dept. of Computer Engineering, Kwangwoon University)
Ahn, Yong-Jo (Dept. of Computer Engineering, Kwangwoon University)
Lim, Woong (Dept. of Computer Engineering, Kwangwoon University)
Sim, Donggyu (Dept. of Computer Engineering, Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.21, no.6, 2016 , pp. 929-943 More about this Journal
Abstract
This paper proposes the rate control algorithm based on the S-JND (Saliency-Just Noticeable Difference) model for considering perceptual visual quality. The proposed rate control algorithm employs the S-JND model to simultaneously reflect human visual sensitivity and human visual attention for considering characteristics of human visual system. During allocating bits for CTU (Coding Tree Unit) level in a rate control, the bit allocation model calculates the S-JND threshold of each CTU in a picture. The threshold of each CTU is used for adaptively allocating a proper number of bits; thus, the proposed bit allocation model can improve perceptual visual quality. For performance evaluation of the proposed algorithm, the proposed algorithm was implemented on HM 16.9 and tested for sequences in Class B and Class C under the CTC (Common Test Condition) RA (Random Access), Low-delay B and Low-delay P case. Experimental results show that the proposed method reduces the bit-rate of 2.3%, and improves BD-PSNR of 0.07dB and bit-rate accuracy of 0.06% on average. We achieved MOS improvement of 0.03 with the proposed method, compared with the conventional method based on DSCQS (Double Stimulus Continuous Quality Scale).
Keywords
HEVC; S-JND; Rate control; Perceptual quality;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 G. J. Sullivan, J. Ohm, W. J. Han and T. Wiegand, "Overview of the High Efficiency Video Coding (HEVC) standard," in Circuits and Systems for Video Technology, IEEE Transactions on, vol. 22, no. 12, pp. 1649-1668, Dec. 2012.   DOI
2 H. H. Jo, E. K. Ryu, J. H. Nam, D. G. Sim, D. H. Kim and J. H. Song, "Parallel method for HEVC deblocking filter based on coding unit depth information," Journal of Broadcast Engineering, vol. 17, no. 5, pp. 742-755, Sep. 2012.   DOI
3 Y. J. Ahn, T. J. Hwang, D. K. Lee, S. M. Kim, S. J. Oh and D. G. Sim, "Study of parallelization methods for real-time HEVC encoder implementation," Journal of Broadcast Engineering, vol. 18, no. 6, pp. 835-849, Nov. 2013.   DOI
4 Y. J. Ahn and D. G. Sim, "Intra block copy analysis to improve coding efficiency for HEVC screen content coding," Journal of Broadcast Engineering, vol. 20, no. 1, pp. 57-67, Jan. 2015.   DOI
5 Y. J. Ahn, S. J. Park and D. G. Sim, "Implementation and commercialization techniques of HEVC codec," The Journal of Korea Institute of Electronics Engineers, vol. 41, no. 19, pp. 89-97, Oct. 2014.
6 D. G. Sim and H. H. Jo, "Understanding of HEVC standard and technology," HongRung Publishing Company, Korea, 2015.
7 Q. Lin and G. Feng, "The bit allocation and RDO mode based rate control algorithm," 2010 International Conference on Anti-Counterfeiting Security and Identification in Communication (ASID), pp. 154-157, Jul. 2010.
8 J. Kim, W. Lim, J. Y. Lim and D. G. Sim, "A perceptual rate control algorithm based on S-JND model," in Winter Conference on The Korean Institute of Communications and Information Sciences, Jan. 2016.
9 W. Lim, H. Jo and D. Sim, "Perceptual coding based on JND model for High Efficiency Video Coding," in International Conference on 3 Dimensional Systems and Applications, Seoul, Korea, 2014.
10 Guan-Lin Wu, Yu-Jie Fu, Sheng-Chieh Huang and Shao-Yi Chien, "Perceptual quality-regulable video coding system with region-based rate control scheme," IEEE Transactions on Image Processing, vol. 22, no. 6, Jun. 2013.
11 X. Wang, L. Su, Q. Huang, C. Liu and L. Duan, "Motion based perceptual distortion and rate optimization for video coding," 2012 IEEE International Conference on Multimedia and Expo. (ICME), pp. 1061-1066, Jul. 2012.
12 B. Li, H. Li, L. Li and J. Zhang, "Rate control by R-lambda model for HEVC," JCT-VC of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCTVC-K0103, Shanghai, China, Oct. 2012.
13 G. J. Sullivan and R. Wiegand, "Rate-distortion optimization for video compression," IEEE Signal Processing Magazine, vol. 15, no. 6, pp. 74-90, Nov. 1998.   DOI
14 W. Lim and D. G. Sim, "Coding unit-level multi-loop encoding method based on JND for perceptual coding," Journal of the Institute of Electronics and Information Engineers, vol. 52, no. 5, pp. 147-154, May. 2015.   DOI
15 H. Choi, J. Nam, J. Yoo, D. Sim and I. V. Bajic, "Rate control based on unified RQ model for HEVC," JCT-VC of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCTVC-H0213, San Jose, CA, Jan. 2012.
16 H. Choi, J. Yoo, J. Nam, D. Sim and I. V. Bajic, "Pixel-wise unified rate-quantization model for multi-level rate control," IEEE Journals & Magazines, vol. 7, no. 6, pp. 1112-1123, 2013.
17 B. Lin, H. Li, L. Li and J. Zhang, "Lambda domain rate control algorithm for High Efficiency Video Coding," IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 3841-3854, 2014.   DOI
18 C. Chou and Y. Li, "A perceptually tuned subband image coder based on the measure of Just-Noticeable-Distortion profile," in Circuits and Systems for Video Technology, IEEE Transactions on, vol. 5, no. 6, pp. 467-476, Dec. 1995.   DOI
19 Z. Wei and K. N. Ngan, "Spatio-temporal Just Noticeable Distortion profile for grey scale image/video in DCT domain," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 3, pp. 337-346, Mar. 2009.   DOI
20 F. Bossen, "Common test conditions and software reference configurations," JCT-VC of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, JCT-VC H1100, San Jose, CA, Jan. 2012.
21 G. Bjontegaard, "Calculation of average PSNR differences between RD-curves," ITU-T SG16/Q.6, VCEG-M33, Austin, TX, Apr. 2001.
22 J. Kim, W. Lim and D. G. Sim, "Rate control encoding method of HEVC for improving perceptual visual quality," in Summer Conference on The Institute of Electronics and Information Engineers, June. 2016.
23 ITU-R BT.500-11, "Methodology for the subjective assessment of the quality of television pictures," Jan. 2012.