SVC adaptation: Standard tools and supporting methods

Signal Processing: Image Communication

Volumn 24, Issue 3, 2009, Pages 214-228

  Thang, Truong Cong ^a   Kim, Jae Gon ^a,b   Kang, Jung Won ^a   Yoo, Jeong Ju ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Hankuk Aviation University   (South Korea)

Author keywords

MPEG 21; Quality of service; Scalable video coding; Video adaptation

Indexed keywords

IMAGE CODING; MOTION PICTURE EXPERTS GROUP STANDARDS; MULTIMEDIA SYSTEMS; QUALITY CONTROL; VISUAL COMMUNICATION;

BIT STREAMS; MPEG-21; MULTIMEDIA COMMUNICATIONS; POTENTIAL SOLUTIONS; QUALITY OF SERVICE; SCALABLE VIDEO CODING; STANDARD TOOLS; VIDEO ADAPTATION; VIDEO FORMATS;

ELECTRIC NETWORK TOPOLOGY;

EID: 61349125440     PISSN: 09235965     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.image.2008.12.006     Document Type: Article

References (81)

1. Special Issue on Universal Multimedia Access, IEEE Signal Processing Magazine 20 (2) (2003).
2. Chang S.-F., and Vetro A. Video adaptation: concepts, technologies, and open issues. Proc. IEEE 93 (2005) 148-158
3. Wu D., Hou T., and Zhang Y.-Q. Transporting real-time video over the internet: challenges and approaches. Proc. IEEE 88 12 (2000) 1855-1875
4. Schwarz H., Marpe D., and Wiegand T. Overview of the scalable video coding extension of the H.264/AVC standard. IEEE Trans. CSVT 17 9 (2007) 1103-1120
5. ITU-T Recommendation H.264|ISO/IEC 14496-10 AVC, Advanced Video Coding for Generic Audiovisual Services, version 3, 2005.
6. Vetro A., and Timmerer C. Digital item adaptation: overview of standardization and research activities. IEEE Trans. Multimedia 7 3 (2005) 418-426
7. Panis G., et al. Bitstream syntax description: a tool for multimedia resource adaptation within MPEG-21. EURASIP Signal Process.: Image Commun. J. 18 8 (2003) 721-747
8. Amonou I., Cammas N., Kervadec S., and Pateux S. Optimized rate-distortion extraction with quality layers in the scalable extension of H.264/AVC. IEEE Trans. CSVT 17 9 (2007) 1186-1193
9. Cranley N., Murphy L., and Perry P. Optimum adaptation trajectories for streamed multimedia. ACM Multimedia Syst. J. 10 5 (2005) 392-401
10. Wang Y., -G. Kim J., Chang S.-F., and Kim H.-M. Utility-based video adaptation for universal multimedia access (UMA) and content-based utility function prediction for real time video transcoding. IEEE Trans. Multimedia 9 29 (2007) 213-220
11. Y.J. Jung, Y.S. Kim, D.Y. Kim, J.-G. Kim, J.W. Hong, Y.M. Ro, Analysis of Human Perception for Semantic Concept-based Video Transcoding, Int. Workshop Advanced Image Tech. 2005 1 (2005) 251-256.
12. T.C. Thang, Y.S. Kim, Y.M. Ro, J.W. Kang, J.-G. Kim, SVC Bitstream Adaptation in MPEG-21 Multimedia Framework, in: Proceedings of the Packet Video 2006 (PV2006), Hangzhou, 2006.
13. Schierl T., Stockhammer T., and Wiegand T. Mobile video transmission using scalable video coding. IEEE Trans. CSVT 17 9 (2007) 1204-1217
14. Wang Y., van der Schaar M., Chang S.-F., and Loui A.C. Classification-based multidimensional adaptation prediction for scalable video coding using subjective quality evaluation. IEEE Trans. CSVT 15 10 (2005) 1270-1279
15. Zhang X.M., Vetro A., Shi Y.Q., and Sun H. Constant quality constrained rate allocation for fgs coded video. IEEE Trans. CSVT 13 2 (2003) 121-130
16. Wang Y.-K., Hannuksela M.M., Pateux S., Eleftheriadis A., and Wenger S. System and transport interface of SVC. IEEE Trans. CSVT 17 9 (2007) 1149-1163
17. Li W. Overview of fine granularity in MPEG-4 video standard. IEEE Trans. CSVT 11 3 (2001) 301-317
18. Foh C.H., Zhang Y., Ni Z.F., Cai J.F., and Ngan K.N. Optimized cross-layer design for scalable video transmission over the IEEE 802.11e networks. IEEE Trans. CSVT 17 12 (2007) 1665-1678
19. de Cuetos P., Seeling P., Reisslein M., and Ross K.W. Comparing the streaming of FGS-encoded video at different aggregation levels: frame, GoP, and scene. Int. J. Commun. Syst. 18 5 (2005) 449-464
20. Thang T.C., Kang J.W., Yoo J.-J., and Ro Y.M. Optimal multi-layer adaptation of SVC video over heterogeneous environments. Adv. Multimedia 2008 (2008) (Article ID 739192) 8pp
21. Vetro A., Schwenke D., Hata T., and Kuwahara N. Scalable video streaming based on JPEG2000 transcoding with adaptive rate control. Adv. Multimedia 2007 (2007) (Article ID 62094) 7pp
22. Bae T.M., Thang T.C., Kim D.Y., Ro Y.M., Kang J.W., and Kim J.-G. Multiple ROI support in scalable video coding. ETRI J. 28 2 (2006) 239-242
23. Choi H., Kang J.W., Jun D.-S., Kim J.-G., and Ro Y.M. Dynamic and interoperable adaptation of SVC for QoS-enabled streaming. IEEE Trans. Consum. Electron. 53 2 (2007) 384-389
24. An C., and Nguyen T.Q. Analysis of utility functions for video. Proc. ICIP2007 5 (2007) 89-92
25. Z. Li, J. Huang, A.K. Katsaggelos, Pricing based collaborative multi-user video streaming over power constrained wireless down link, in: Proceedings of the ICASSP2006, 2006.
26. T.C. Thang, J.W. Kang, H. Choi, J.-J. Yoo, MPEG-21 enabled SVC Adaptation for Multi-User QoS-Adaptive Streaming, in: Proceedings of the ICCE2008, 2008.
27. Thang T.C., Jung Y.J., and Ro Y.M. Modality conversion for QoS management in universal multimedia access. IEE Proc. Vision, Image Signal Process. 152 03 (2005) 374-384
28. T.C. Thang, Y.J. Jung, Y.M. Ro, Semantic quality for content-aware video adaptation, in: Proceedings of the IEEE MMSP2005, Shanghai, 2005.
29. Werner O. Requantization for transcoding of MPEG-2 Intraframes. IEEE Trans. Image Process. 8 2 (1999) 179-191
30. Kim J.-G., Wang Y., and Chang S.-F. Content-adaptive utility-based video adaptation. Proc. IEEE ICME (2003)
31. Vetro A., Wang Y., and Sun H. Estimating distortion of coded and non-coded frames for frameskip-optimized video coding. IEEE ICME (2001) 419-422
32. M. Dai, D. Loguinov, Analysis of rate-distortion functions and congestion control in scalable Internet video streaming, in: Proceedings of the ACM NOSSDAV'03, 2003.
33. Sun J., Gao W., Zhao D., and Huang Q. Statistical model, analysis and approximation of rate-distortion function in MPEG-4 FGS videos. IEEE Trans. CSVT 16 4 (2006) 535-539
34. T.C. Thang, J.W. Kang, Y.S. Kim, Y.M. Ro, J.-G. Kim, S. Pateux, S. Devillers, CE report on SVC and AdaptationQoS, ISO/IEC JTC1/SC29/WG11 m12915, Bangkok, 2006.
35. Hsiang S.-T., and Woods J.W. Embedded video coding using invertible motion compensated 3-D subband/wavelet filter bank. Signal Process.: Image Commun. 16 8 (2001) 705-724
36. Mukherjee D., Delfosse E., Kim J.-G., and Wang Y. Optimal adaptation decision-taking for terminal and network quality-of-service. IEEE Trans. Multimedia 7 3 (2005) 454-462
37. T.C. Thang, J.W. Kang, J.-J. Yoo, J.-G. Kim, Multilayer Adaptation for MGS-based SVC Bitstream, in: Proceedings of the ACM Multimedia 2008, 2008.
38. T.C. Thang, T.M. Bae, Y.J. Jung, Y.M. Ro, J.W. Kang, H. Choi, J.-G. Kim, SVC CE8: Spatial scalability of multiple ROIs, ISO/IEC MPEG & ITU-T VCEG JVT-O042, Poland, 2005.
39. I. Amonou, N. Cammas, S. Pateux, S. Kervadec, Coding rate coverage extension with dead substreams in the SVM, ISO/IEC JTC1/SC29/WG11 m11703, Hong-Kong, 2005.
40. Guo Y., Wang Y.-K., Hannuksela M.M., and Li H. Discardable data adaptation in scalable video coding. Proc. ACM Workshop Mobile Video (2007) 49-54
41. J. Jia, H.K. Kim, H.C. Choi, J.J. Yoo, SVC chroma format scalability, ISO/IEC MPEG & ITU-T VCEG JVT-X050, Geneva, 2007.
42. Winken M., Marpe D., Schwarz H., and Wiegand T. Bit-depth scalable video. Proc. IEEE ICIP2007 1 (2007) 5-8
43. C. Hsu, M. Hefeeda, Rate-distortion models for FGS-encoded video sequences, in: Proceedings of the IEEE International Conference on Computer Theory and Applications, 2006, pp. 334-337.
44. H Pinson M., and Wolf S. A new standardized method for objectively measuring video quality. IEEE Trans. Broadcast. 50 3 (2004) 312-322
45. Yu Z., Wu H.R., Winkler S., and Chen T. Vision-model-based impairment metric to evaluate blocking artifacts in digital video. Proc. IEEE 90 1 (2002) 154-169
46. D. Miras, G. Knight, Smooth quality streaming of live internet video, in: Proceedings of the IEEE Global Telecommunication Conference (GLOBECOM'04), vol. 2, 2004, pp. 627-633.
47. P. Yin, A. Vetro, M. Xia, B. Liu, Rate-distortion models for video transcoding, in: Proceedings of the Conference on Image and Video Communications and Processing, Berlin, 2003, pp. 479-488.
48. Y.J. Jung, T.C. Thang, Y.M. Ro, Distortion measures in MPEG-compressed domain for multidimensional transcoding, in: Proceedings of the IEEE MMSP2005, Shanghai, 2005.
49. Reed R.C., and Lim J.S. Optimal multidimensional bit-rate control for video communication. IEEE Trans. Image Process. 11 8 (2002) 873-885
50. Winkler S. A perceptual distortion metric for digital color video. Proc. SPIE Hum. Vision Electron. Imaging 3644 (1999) 175-184
51. Akyol E., Murat Tekalp A., and Reha Civanlar M. Content-Aware Scalability-Type Selection for Rate Adaptation of Scalable Video. EURASIP J. Adv. Signal Process. 2007 (2007) (Article ID 10236) 11pp
52. Nagao K., Shirai Y., and Squire K. Semantic annotation and transcoding: making Web content more accessible. IEEE Multimedia 8 2 (2001) 69-81
53. Cucchiara R., Grana C., and Prati A. Semantic video transcoding using classes of relevance. Int. J. Image Graphics (2003) 145-169
54. H. Sundaram, L. Xie, S.-F. Chang, A utility framework for the automatic generation of audio-visual skims, in: Proceedings of the ACM Multimedia, 2002.
55. Prangl M., Szkaliczki T., and Hellwagner H. A framework for utility-based multimedia adaptation. IEEE Trans. CSVT 17 6 (2007) 719-728
56. Ortega A., and Ramchandran K. Rate-distortion methods for image and video compression. IEEE Signal Process. Mag. 15 6 (1998) 23-50
57. ISO/IEC 21000-7:2004 Information technology-Multimedia framework (MPEG-21)-Part 7: Digital Item Adaptation, 2004.
58. ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC/ Amd.3, Scalable video coding, 2007.
59. ISO/IEC 21000-2:2005 Digital Item Declaration, second ed., 2005.
60. Wien M., Cazoulat R., Graffunder A., Hutter A., and Amon P. Real-time system for adaptive video streaming based on SVC. IEEE Trans. CSVT 17 9 (2007) 1227-1237
61. Bajaj S., Breslau L., and Shenker S. Uniform versus priority dropping for layered video. ACM SIGCOMM '98 (1998) 131-143
62. Tian T., Li A.H., Wen J., and Villasenor J.D. Priority dropping in network transmission of scalable video. Proc. IEEE ICIP 3 (2000) 400-403
63. C. Krasic, J. Walpole, W. Feng, Quality-adaptive media streaming by priority drop, in: Proceedings of the NOSSDAV2003, 2003.
64. J. Huang, W. Feng, W. Feng, D. Romano, Multi-hop buffering and adaptation for video-based sensor networking applications, in: ACM NOSSDAV, 2006.
65. Wenger S. H.264/AVC over IP. IEEE Trans. CSVT 13 7 (2003) 645-656
66. I. Amonou, N. Cammas, S. Pateux, S. Kervadec, Layered quality optimization for SVM, ISO/IEC JTC1/SC29/WG11 m11704, Hong-Kong, 2005.
67. I. Amonou, N. Cammas, S. Kervadec, S. Pateux, Considerations about restriction on priority_id, ISO/IEC MPEG & ITU-T VCEG JVT-T051, Klagenfurt, 2006.
68. Y.-K. Wang, M.M. Hannuksela, D. Singer, On simple_priority_id, ISO/IEC MPEG & ITU-T VCEG JVT-T071, Klagenfurt, 2006.
69. Amon P., Rathgen T., and Singer D. File format for scalable video coding. IEEE Trans. CSVT 17 9 (2007) 1174-1185
70. Lengwehasatit K., and Ortega A. Rate-complexity-distortion optimization for quadtree-based DCT coding. Proc. Conf. Image Process. (2000) 821-824
71. Forney G.D. The viterbi algorithm. Proc. IEEE 61 (1973) 268-278
72. S. Lerouge, P. Lambert, R. Van de Walle, Multi-criteria Optimization for Scalable Bitstreams, in: Proceedings of the 8th International Workshop on VLBV 2003, LNCS, vol. 2849, 2003.
73. I. Kofler, C. Timmerer, H. Hellwagner, A. Hutter, F. Sanahuja, Efficient MPEG-21-based Adaptation Decision-Taking for Scalable Multimedia Content, in: Proceedings of the MMCN'07, 2007.
74. Wenger S., Wang Y.-K., and Schierl T. Transport and signaling of SVC in IP networks. IEEE Trans. CSVT 17 9 (2007) 1164-1173
75. Hsiao H.-F., Liu Q., and Hwang J.-N. Layered video over IP networks by using selective drop routers. Proc. ISCAS2002 1 (2002) 441-444
76. J. Thomas-Kerr, I.S. Burnett, C.H. Ritz, An efficient approach to generic multimedia adaptation, in: ACM Multimedia, 2006, pp. 49-52.
77. De Schrijver D., De Neve W., De Wolf K., De Sutter R., and Van de Walle R. An optimized MPEG-21 BSDL framework for the adaptation of scalable bitstreams. J. Visual Commun. Image Representation 18 3 (2007) 217-239
78. Rejaie R., Handley M., and Estrin D. Layered quality adaptation for internet video streaming. IEEE J. Sel. Areas Commun. 18 12 (2000) 2530-2543
79. Salehi J.D., et al. Supporting stored video: reducing rate variability and end-to-end resource requirements through optimal smoothing. IEEE/ACM Trans. Networking 6 4 (1998) 397-410
80. Feng W., and Rexford J. Performance evaluation of smoothing algorithms for transmitting prerecorded variable-bit-rate video. IEEE Trans. Multimedia 1 3 (1999) 302-313
81. T.C. Thang, J.W. Kang, Y.M. Ro, Graph-based Perceptual Quality Model for Audiovisual Contents, in: Proceedings of IEEE, ICME2007, Beijing, 2007, pp. 312-315.