Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video

Transmission of video over wireless and mobile networks requires a scalable solution that is capable of adapting to the varying channel conditions in real-time (bit-rate scalability). Furthermore, video content needs to be coded in a scalable fashion to match the capabilities of a variety of devices (complexity scalability). These two scalability properties provide the flexibility that is necessary to satisfy the "anywhere, anytime and anyone" network paradigm of wireless systems. MPEG-4 fine-granular-scalability (FGS) is a flexible low-complexity solution for video streaming over heterogeneous networks (e.g., the Internet and wireless networks) and is highly resilient to packet losses. However, the flexibility and packet-loss resilience come at the expense of decreased coding efficiency compared with nonscalable coding. A novel scalable video-coding framework and corresponding compression methods for wireless video streaming is introduced. Building on the FGS approach, the proposed framework, which we refer to as adaptive motion-compensation FGS (AMC-FGS), provides improved video quality of up to 2 dB. Furthermore, the new scalability structures provide the FGS framework with the flexibility to provide tradeoffs between resilience, higher coding efficiency and terminal complexity for more efficient wireless transmission.

[1]  M. Reha Civanlar,et al.  Packet loss resilience of MPEG-2 scalable video coding algorithms , 1996, IEEE Trans. Circuits Syst. Video Technol..

[2]  William A. Pearlman,et al.  An embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees (SPIHT) , 1997, Proceedings DCC '97. Data Compression Conference.

[3]  John W. Woods,et al.  Motion-compensated 3-D subband coding of video , 1999, IEEE Trans. Image Process..

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

[5]  Avideh Zakhor,et al.  Real-Time Internet Video Using Error Resilient Scalable Compression and TCP-Friendly Transport Protocol , 1999, IEEE Trans. Multim..

[6]  Feng Wu,et al.  DCT-prediction based progressive fine granularity scalable coding , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[7]  Andrea Basso,et al.  DCT-based scalable video coding with drift , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

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

[9]  Mihaela van der Schaar,et al.  Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[10]  Amy R. Reibman,et al.  Managing drift in DCT-based scalable video coding , 2001, Proceedings DCC 2001. Data Compression Conference.

[11]  Kenneth Rose,et al.  Toward optimality in scalable predictive coding , 2001, IEEE Trans. Image Process..

[12]  Mihaela van der Schaar,et al.  Unequal packet loss resilience for fine-granular-scalability video , 2001, IEEE Trans. Multim..

[13]  Wen Gao,et al.  Macroblock-based progressive fine granularity scalable (PFGS) video coding with flexible temporal-SNR scalablilities , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[14]  Sun Xiao Macroblock-Based Progressive Fine Granularity Scalable (PFGS) Video Coding with Flexible Temporal-SNR Scalabilities , 2003 .