Error-resilient delivery of Region of interest video using Multiple Representation Coding

Video delivery over wireless and cellular networks can be severely impaired due to bandwidth limitations and also due to the presence of burst losses and signal-loss intervals. This paper proposes unequal protection of Region of interest (ROI) encoded videos for transmission over low-bitrate and error-prone channels. Here, a flexible and interactive ROI is introduced in a low-complexity, and standard-compliant fashion to encode the critical regions within each frame at a higher quality as compared to the background. Further, the reconstruction fidelity of the high-quality ROI is improved by unequally protecting the ROI using an error-resilient video delivery scheme known as Multiple Representation Coding (MRC). Simulation results indicate that the proposed strategy can facilitate a graceful recovery of the ROI in the presence of burst and signal losses.

[1]  Nikil Jayant,et al.  Region-of-interest video coding for enabling surgical telementoring in low-bandwidth scenarios , 2012, MILCOM 2012 - 2012 IEEE Military Communications Conference.

[2]  Wei Song,et al.  Impact of Region-of-Interest Video Coding on Perceived Quality in Mobile Video , 2012, 2012 IEEE International Conference on Multimedia and Expo.

[3]  Mathias Johanson,et al.  Adaptive Forward Error Correction for Real-time Internet Video , 2003 .

[4]  King Ngi Ngan,et al.  Foreground/background bit allocation for region-of-interest coding , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[5]  Michael G. Strintzis,et al.  Robust Transmission of H.264/AVC Video using Adaptive Slice Grouping and Unequal Error Protection , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[6]  Max E. Stachura,et al.  Delivering Diagnostic Quality Video over Mobile Wireless Networks for Telemedicine , 2009, International journal of telemedicine and applications.

[7]  Vivek K. Goyal,et al.  Multiple description coding: compression meets the network , 2001, IEEE Signal Process. Mag..

[8]  Peter Lambert,et al.  Flexible macroblock ordering as a content adaptation tool in H.264/AVC , 2005, SPIE Optics East.

[9]  J.D. Gibson,et al.  Multiple Description Image Coding Using Regions of Interest , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[10]  Peter Schelkens,et al.  An Implementation of multiple Region-Of-Interest Models in H.264/AVC , 2008 .

[11]  John G. Apostolopoulos,et al.  Reliable video communication over lossy packet networks using multiple state encoding and path diversity , 2000, IS&T/SPIE Electronic Imaging.

[12]  Yao Wang,et al.  Multiple Description Coding for Video Delivery , 2005, Proceedings of the IEEE.

[13]  Sethuraman Panchanathan,et al.  Error resiliency schemes in H.264/AVC standard , 2006, J. Vis. Commun. Image Represent..

[14]  Shivendra S. Panwar,et al.  Video transport over ad hoc networks: multistream coding with multipath transport , 2003, IEEE J. Sel. Areas Commun..

[15]  Nikil Jayant,et al.  Multiple representation coding for error-resilient video delivery , 2012, 2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[16]  N. Tsapatsoulis,et al.  Region of Interest Video Coding for Low bit-rate Transmission of Carotid Ultrasound Videos over 3G Wireless Networks , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  Miska M. Hannuksela,et al.  Sub-picture: ROI coding and unequal error protection , 2002, Proceedings. International Conference on Image Processing.

[18]  Yung-Chang Chen,et al.  Low-complexity face-assisted video coding , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[19]  Bernd Girod,et al.  Network-Aware H . 264 / AVC Region-of-Interest Coding for a Multi-Camera Wireless Surveillance Network ⋆ , 2006 .