AVC in Wireless Environments

Video transmission in wireless environments is a challenging task calling for high compression efficiency as well as a network friendly design. These have been major goals of the H.dressed via the Network Abstraction Layer that has been developed to transport the coded video data over any existing and future networks including wireless systems. The main objective of this paper is to provide an overview over the tools which are likely to be used in wireless environments and discusses the most challenging application, wireless conversational services in greater detail. Appropriate justifications for the application of different tools based on experimental results are presented.

[1]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[2]  Faouzi Kossentini,et al.  Optimal mode selection and synchronization for robust video communications over error-prone networks , 2000, IEEE Journal on Selected Areas in Communications.

[3]  Philip A. Chou,et al.  Rate-distortion optimized streaming of packetized media , 2006, IEEE Transactions on Multimedia.

[4]  Ness B. Shroff,et al.  Error Concealment in Encoded Video , 1999 .

[5]  Thomas Wiegand,et al.  Rate-Distortion Optimization for JVT/H.26L Video Coding in Packet Loss Environment , 2002 .

[6]  John D. Villasenor,et al.  Adaptive intra update for video coding over noisy channels , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[7]  Bede Liu,et al.  Recovery of lost or erroneously received motion vectors , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  D. Lindbergh.  The H.324 multimedia communication standard , 1996 .

[9]  Georg Carle,et al.  Survey of error recovery techniques for IP-based audio-visual multicast applications , 1997, IEEE Netw..

[10]  Stefan Parkvall,et al.  Multimedia broadcast multicast services , 2015 .

[11]  Antti Toskala,et al.  WCDMA for UMTS: Radio Access for Third Generation Mobile Communications , 2000 .

[12]  Rui Zhang,et al.  Video coding with optimal inter/intra-mode switching for packet loss resilience , 2000, IEEE Journal on Selected Areas in Communications.

[13]  Gary J. Sullivan,et al.  Rate-distortion optimization for video compression , 1998, IEEE Signal Process. Mag..

[14]  Itu-T.  Video coding for low bitrate communication , 1996 .

[15]  Qin-Fan Zhu,et al.  Joint source coding, transport processing, and error concealment for H.323-based packet video , 1998, Electronic Imaging.

[16]  Bernd Girod,et al.  Robust Internet video transmission based on scalable coding and unequal error protection , 1999, Signal Process. Image Commun..

[17]  Bernd Girod,et al.  Standard compatible extension of H.263 for robust video transmission in mobile environments , 1997, IEEE Trans. Circuits Syst. Video Technol..

[18]  Miska M. Hannuksela,et al.  The error concealment feature in the H.26L test model , 2002, Proceedings. International Conference on Image Processing.

[19]  Bernd Girod,et al.  Feedback-based error control for mobile video transmission , 1999, Proc. IEEE.

[20]  T. Nakai,et al.  Error resilient video coding by dynamic replacing of reference pictures , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[21]  Sheila S. Hemami.  Robust image transmission using resynchronizing variable-length codes and error concealment , 2000, IEEE Journal on Selected Areas in Communications.

[22]  Miska Hannuksela,et al.  Error-Robust Inter/Intra Mode Selection Using Isolated Regions , 2003 .

[23]  Thomas Wiegand,et al.  Lagrange multiplier selection in hybrid video coder control , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[24]  Masahiro Wada,et al.  Selective recovery of video packet loss using error concealment , 1989, IEEE J. Sel. Areas Commun..

[25]  Jordi Ribas-Corbera,et al.  A generalized hypothetical reference decoder for H.264/AVC , 2003, IEEE Trans. Circuits Syst. Video Technol..

[26]  Thomas Stockhammer,et al.  STREAMING MEDIA IN VARIABLE BIT-RATE ENVIRONMENTS , 2003 .

[27]  Yao Wang,et al.  Error control and concealment for video communication: a review , 1998, Proc. IEEE.

[28]  Marta Karczewicz,et al.  Slice interleaving in compressed video packetization , 2000 .

[29]  T. Stockhammer,et al.  Standard-Compliant Enhancements of JVT Coded Video for Transmission over Fixed and Wireless , 2002 .

[30]  Henning Schulzrinne,et al.  An RTP Payload Format for Generic Forward Error Correction , 1999, RFC.

[31]  Thomas Wiegand,et al.  Video coding and transport layer techniques for H.264/AVC-based transmission over packet-lossy networks , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[32]  Marta Karczewicz,et al.  The SP- and SI-frames design for H.264/AVC , 2003, IEEE Trans. Circuits Syst. Video Technol..

[33]  Thomas Wiegand,et al.  Error-resilient video transmission using long-term memory motion-compensated prediction , 2000, IEEE Journal on Selected Areas in Communications.

[34]  Carsten Bormann,et al.  RObust Header Compression (ROHC): Framework and four profiles: RTP, UDP, ESP, and uncompressed , 2001, RFC.

[35]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..

[36]  Mihaela van der Schaar,et al.  The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP , 2001, IEEE Trans. Multim..

[37]  Sanjit K. Mitra,et al.  Rate-distortion optimized mode selection for very low bit rate video coding and the emerging H.263 standard , 1996, IEEE Trans. Circuits Syst. Video Technol..

[38]  Bernd Girod,et al.  Adaptive playout for low latency video streaming , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[39]  David G. Messerschmitt,et al.  Resynchronization of motion compensated video affected by ATM cell loss , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.