Video coding with dynamic background

Eurasip Journal on Advances in Signal Processing

Volumn 2013, Issue 1, 2013, Pages

  Paul, Manoranjan ^a   Lin, Weisi ^b   Lau, Chiew Tong ^b   Lee, Bu Sung ^b  

^a CHARLES STURT UNIVERSITY   (Australia)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Adaptive GOP; H.264; Motion compensation; Motion estimation; Multiple reference frame; Scene change detection; Uncovered background; Video coding

Indexed keywords

ADAPTIVE GOP; H.264; MULTIPLE-REFERENCE FRAMES; SCENE CHANGE DETECTION; UNCOVERED BACKGROUND;

IMAGE CODING; MOTION COMPENSATION; MOTION ESTIMATION; MOTION PICTURE EXPERTS GROUP STANDARDS; SIGNAL DETECTION; VIDEO SIGNAL PROCESSING;

STRUCTURAL FRAMES;

EID: 84874081952     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/1687-6180-2013-11     Document Type: Article

References (31)

1. Wiegand T, Sullivan GJ, Bjøntegaard G, Luthra A: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 2003,13(7):560-576.
2. ITU-T Recommendation H.264: Advanced Video Coding for Generic Audiovisual Services. 03/2009.
3. Paul M, Murshed M: Video coding focusing on block partitioning and occlusions. IEEE Transactions on Image Processing 2010,19(3):691-701.
4. Ding J-R, Yang J-F: Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information. IET Image Processing 2008,2(2):85-94. (Pubitemid 351598720)
5. Huang Y-W, Hsieh B-Y, Chien S-Y, Ma S-Y, Chen L-G: Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC. IEEE Transactions on Circuits and Systems for Video Technology 2006,16(4):507-522.
6. Shen L, Liu Z, Zhang Z, Wang G: An adaptive and fast multi frame selection algorithm for H.264 video coding. IEEE Signal Processing Letters 2007,14(11):836-839. (Pubitemid 350130774)
7. Kuo T-Y, Lu H-J: Efficient reference frame selector for H.264. IEEE Trans. Circuits Syst. Video Technol. 2008,18(3):400-405. (Pubitemid 351479161)
8. Hachicha K, Faura D, Romain O, Garda P: Accelerating the multiple reference frames compensation in the H.264 video coder. J. Real-Time Image Process. (Springer) 2009,4(1):55-65.
9. Zheng J, Chau L-P: Error-resilient coding of H.264 based on periodic macroblock. IEEE Trans. Broadcasting 2006,52(2):223-229. (Pubitemid 43832973)
10. Saponara S, Casula M, Rovati F, Alfonso D, Fanucci L: Dynamic control of motion estimation search parameters for low complex H.264 video coding. IEEE Trans. Consum. Electron. 2006,52(1):232-239.
11. Dimou A, Nemethova O, Rupp M: Scene change detection for H.264 using dynamic threshold techniques. In Proceedings of the EURASIP Conference on Speech and Image Processing, Multimedia Communications and Service. Slovak Republic, Smolenice; 2005:80-227.
12. Alfonso D, Biffi B, Pezzoni L: Adaptive GOP size control in H.264/AVC encoding based on scene change detection. In Signal Processing Symposium. Rejkjavik; 2006:86-89. (Pubitemid 351246053)
13. Matsuoka S, Morigami Y, Tian S, Shimamoto T: Coding efficiency improvement with adaptive GOP size selection for H.264/SVC. In International Conference on Innovative Computing Information and Control (ICICIC). Dalian, Liaoning, Dalian, Liaoning; 2008:356-359.
14. Song T, Matsuoka S, Morigami Y, Shimamoto T: Coding efficiency improvement with adaptive GOP selection for H.264/SVC. Int. J. Innovative Comput. Inf Control 2009,5(11):4155-4165.
15. Hepper D: Efficiency analysis and application of uncovered background prediction in a low bit rate image coder. IEEE Trans. Communication 1990, 38:1578-1584.
16. Chien S-Y, Ma S-Y, Chen L-G: Efficient moving object segmentation algorithm using background registration technique. IEEE Trans. Circuits Syst. Video Technol. 2002,12(7):577-586. (Pubitemid 34861831)
17. Totozafiny T, Patrouix O, Luthon F, Coutellier J-M: Dynamic background segmentation for remote reference image updating within motion detection JPEG2000. IEEE International Symposium on Industrial Electronics, Montreal, Que 2006, 1:505-510.
18. Ding R, Dai Q, Xu W, Zhu D, Yin H: Background-frame based motion compensation for video compression. In IEEE International Conference on Multimedia and Expo (ICME). Taipei, vol. 2; 2004:1487-1490. (Pubitemid 40063325)
19. Stauffer C, Grimson WEL: Adaptive background mixture models for real-time tracking. In IEEE Conference on Computer Vision and Pattern Recognition. Fort Collins, CO, vol. 2; 1999:246-252.
20. Lee D-S: Effective Gaussian mixture learning for video background subtraction. IEEE Trans. Pattern Anal. Mach. Intell. 2005,27(5):827-832. (Pubitemid 40608416)
21. Haque M, Murshed M, Paul M: Improved Gaussian mixtures for robust object detection by adaptive multi-background generation. In IEEE International Conference on Pattern Recognition. Tampa, FL; 2008:1-4.
22. Auwera GVD, David PT, Reisslein M: Traffic and quality characterization of single-layer video streams encoded with the H.264/MPEG-4 advanced video coding standard and scalable video coding extension. IEEE Trans. Broadcast. 2008,54(3):698-718.
23. Wang D, Zhang L, Vincent A: New method of reducing GOP-boundary artifacts in wavelet-based video coding. IEEE Trans. Broadcast. 2006,52(3):350-355. (Pubitemid 44321501)
24. List P, Joch A, Lainema J, Bjøntegaard G, Karczewicz M: Adaptive deblocking filter. IEEE Trans. Circuits Syst. Video Technol. 2003,13(7):614-619.
25. Kimata H, Yashima Y, Kobuyashi N: Edge preserving pre-post filtering for low bitrate video coding. In IEEE International Conference on Image Processing. Thessaloniki, vol. 3; 2001:554-557. (Pubitemid 33058042)
26. Paul M, Lin W, Lau CT, Lee B-S: McFIS: better I-frame for video coding. In IEEE International Symposium on Circuits and Systems (IEEE ISCAS-10). Paris, Paris; 2010:2171-2174.
27. Wong K-W, Lam K-M, Siu W-C: An efficient low bit-rate video-coding algorithm focusing on moving regions. IEEE Trans. Circuits Syst. Video Technol. 2001,11(10):1128-1134. (Pubitemid 32992983)
28. Paul M, Murshed M, Dooley L: A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics. IEEE Trans. Circuits Syst. Video Technol. 2005,15(6):753-761. (Pubitemid 40819641)
29. Shanableh T, Ghanbari M: Heterogeneous video transcoding to lower spatio-temporal resolutions and different encoding formats. IEEE Transaction Multimedia 2000,2(2):101-110.
30. Saponara S, Blanch C, Denolf K, Bormans J: The JVT advanced video coding standard: complexity and performance analysis on a tool-by-tool basis. IMEC 2003.
31. Zhai G, Cai J, Lin W, Yang X, Zhang W: Three-dimensional scalable video adaptation via user-end perceptual quality assessment. IEEE Transaction Broadcasting 2008,54(3):719-727.