On optimizing H. 264/AVC rate control by improving R-D model and incorporating HVS characteristics

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Zhu, Zhongjie ^a   Wang, Yuer ^a   Bai, Yongqiang ^a   Jiang, Gangyi ^b  

^a ZHEJIANG WANLI UNIVERSITY   (China)

^b NINGBO UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTRAST SENSITIVITY; H.264/AVC; HUMAN VISION; HUMAN VISUAL SYSTEMS; IMPROVED ALGORITHM; MAIN CHARACTERISTICS; MASKING EFFECT; MULTI-CHANNEL; PSYCHOLOGICAL RESEARCH; QUADRATIC RATES; R-D MODEL; RATE CONTROL ALGORITHMS; RATE CONTROLS; VISUAL QUALITIES;

ALGORITHMS; IMAGE CODING; MOTION PICTURE EXPERTS GROUP STANDARDS; OPTIMIZATION;

QUALITY CONTROL;

EID: 78249283230     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/830605     Document Type: Article

References (24)

1. Merritt L., Vanam R., Improved rate control and motion estimation for H.264 encoder Proceedings of the 14th IEEE International Conference on Image Processing (ICIP '07) September 2007 V309 V312
2. Kamaci N., Altunbasak Y., Mersereau R. M., Frame bit allocation for the H.264/AVC video coder via cauchy-density-based rate and distortion models IEEE Transactions on Circuits and Systems for Video Technology 2005 15 8 994 1006
3. Chen Z., Ngan K. N., Recent advances in rate control for video coding Signal Processing: Image Communication 2007 22 1 19 38
4. Li Z. G., Pan F., Lin K. P., Feng G., Lin X., Rahardja S., Adaptive basic unit layer rate control for JVT Proceedings of the 7th JVT Meeting 2003 Pattaya II, Thailand
5. Yuan W., Research for the rate control algorithm in H.264, M.S. thesis 2006 China Hefei University of Technology
6. Yi X., Ling N., Improved H.264 rate control by enhanced MAD-based frame complexity prediction Journal of Visual Communication and Image Representation 2006 17 2 407 424
7. Kim J.-Y., Kim S.-H., Ho Y.-S., A frame-layer rate control algorithm for H.264 using rate-dependent mode selection 3768 Proceedings of the 6th Pacific Rim Conference on Multimedia (PCM '05) 2005 477 488 Lecture Notes in Computer Science
8. Lee S., Pattichis M. S., Bovik A. C., Foveated video compression with optimal rate control IEEE Transactions on Image Processing 2001 10 7 977 992
9. Nguyen A. G., Hwang J.-N., A novel hybrid HVPC/mathematical model rate control for low bit-rate streaming video Signal Processing: Image Communication 2002 17 5 423 440
10. Tang C.-W., Chen C.-H., Yu Y.-H., Tsai C.-J., Visual sensitivity guided bit allocation for video coding IEEE Transactions on Multimedia 2006 8 1 11 18
11. Chen Z. Z., Ngan K. N., A unified framework of unsupervised subjective optimized bit allocation for video coding using visual attention model Multimedia Systems and Applications VIII 2005 Boston, Mass, USA Proceedings of SPIE
12. Liu Z., Karam L. J., Watson A. B., JPEG2000 encoding with perceptual distortion control IEEE Transactions on Image Processing 2006 15 7 1763 1778
13. Jiang M., Ling N., On lagrange multiplier and quantizer adjustment for H.264 frame-layer video rate control IEEE Transactions on Circuits and Systems for Video Technology 2006 16 5 663 669
14. Chiang T., Zhang Y.-Q., A new rate control scheme using quadratic rate distortion model IEEE Transactions on Circuits and Systems for Video Technology 1997 7 1 246 250
15. Wang Z., Sheikh R. H., Bovik C. A., Furht B., Marqure O., Objective video quality assessment The Handbook of Video Databases: Design and Applications 2003 Boca Raton, Fla, USA CRC Press 1041 1078
16. Simoncelli E. P., Olshausen B. A., Natural image statistics and neural representation Annual Review of Neuroscience 2001 24 1193 1216
17. Sheikh H. R., Bovik A. C., Image information and visual quality IEEE Transactions on Image Processing 2006 15 2 430 444
18. Wei C. K., Image quality assessment model via HVS, M.S. thesis 2003 China National University of Defense Technology
19. Mannos J. L., Sakrison D. J., The effects of a visual fidelity criterion on the encoding of images IEEE Transactions on Information Theory 1974 20 4 525 536
20. Cheng W.-H., Chu W.-T., Kuo J.-H., Wu J.-L., Automatic video region-of-interest determination based on user attention model Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS '05) May 2005 3219 3222
21. Osberger W., Maeder A., Bergmann N., A technique for image quality assessment based on a human visual system model Proceedings of the European Signal Processing Conference 1998 1049 1052
22. Zhu Z. J., Jiang G. Y., Yu M., Wu X. W., New algorithm for extracting moving object based on spatio-temporal information Chinese Journal of Image and Graphics 2003 8 4 422 425
23. Ivkovic G., Sankar R., An algorithm for image quality assessment Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '04) May 2004 713 716
24. ITU-R, Methodology for the subjective assessment of the quality of television pictures 2000 Geneva, Switzerland ITU-R Recommendation BT.500-10