Exponential Decay of Transmission Distortion in H.264

Nyamweno, Sunday; Satyan, Ramdas; Labeau, Fabrice

doi:10.1109/mmsp.2007.4412869

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [7], it is observed that when UIP is used, the exponential decaying model in [6] becomes invalid for H.264/AVC, where the transmission distortion could even increase instead of decreasing. However, by inserting some I-MBs with constrained intra prediction, i.e., no pixels from other MBs are used for intra prediction, the transmission distortion can again have exponential decaying.…”

Section: Introductionmentioning

confidence: 99%

End-to-end distortion estimation for H.264 with unconstrained intra prediction

Zhang

Liang

Singh

2012

2012 19th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

This paper presents a macroblock-level algorithm to estimate the end-to-end distortion of H.264/AVC-based video transmission that allows unrestricted intra prediction. Some fast approximations are developed to reduce its complexity so that it can be used in real-time applications. Experimental results demonstrate the performance of the algorithm and the impact of the unconstrained intra prediction.

show abstract

Section: Introductionmentioning

confidence: 99%

End-to-end distortion estimation for H.264 with unconstrained intra prediction

Zhang

Liang

Singh

2012

2012 19th IEEE International Conference on Image Processing

View full text Add to dashboard Cite

show abstract

Fast transmission distortion estimation and adaptive error protection for H.264/AVC-based embedded video conferencing systems

Zhang

Liang

Singh

2013

Signal Processing: Image Communication

View full text Add to dashboard Cite

Fine-Granularity Transmission Distortion Modeling for Video Packet Scheduling Over Mesh Networks

Zhang

Qin

2010

IEEE Trans. Multimedia

View full text Add to dashboard Cite

Packet scheduling is a critical component in multi-session video streaming over mesh networks. Different video packets have different levels of contribution to the overall video presentation quality at the receiver side. In this work, we develop a fine-granularity transmission distortion model for the encoder to predict the quality degradation of decoded videos caused by lost video packets. Based on this packet-level transmission distortion model, we propose a content-and-deadline-aware scheduling (CDAS) scheme for multi-session video streaming over multi-hop mesh networks, where content priority, queuing delays, and dynamic network transmission conditions are jointly considered for each video packet. Our extensive experimental results demonstrate that the proposed transmission distortion model and the CDAS scheme significantly improve the performance of multi-session video streaming over mesh networks.

show abstract

Exponential Decay of Transmission Distortion in H.264

Cited by 3 publications

References 6 publications

End-to-end distortion estimation for H.264 with unconstrained intra prediction

End-to-end distortion estimation for H.264 with unconstrained intra prediction

Fast transmission distortion estimation and adaptive error protection for H.264/AVC-based embedded video conferencing systems

Fine-Granularity Transmission Distortion Modeling for Video Packet Scheduling Over Mesh Networks

Contact Info

Product

Resources

About