Error resilient video coding using virtual reference picture

Guanjun Zhang; Robert L. Stevenson

doi:10.1117/12.587306

14 March 2005 Error resilient video coding using virtual reference picture

Guanjun Zhang, Robert L. Stevenson

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.587306
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Error resilience becomes an important feature of video applications over networks. Due to widely used motion-compensated prediction coding, an important method to combat or conceal errors is providing robust prediction reference. If each block uses one reference, the situation is not different from conventional prediction. If multiple references are used, cost of motion search will increase dramatically. To take advantage of both low complexity of using one reference and robustness of using multiple references, we proposed a video coding system that composes a virtual frame based on previously decoded frames and use it as a prediction reference. The frame is generated by applying a nonlinear filter on previously coded frames. In error free environment, both encoder and decoder can compose an identical reference frame. In case of error, the decoder first conceals the errors by predicting the damaged blocks spatially. Effect of errors is further constrained by composing a reference frame since correct data from decoded frames are used. Lower video quality degradation and smaller quality oscillation can be achieved. Since the composed reference may have lower correlation with the current frame and damage some details, coding efficiency will slightly decrease.

Citation Download Citation

Guanjun Zhang and Robert L. Stevenson "Error resilient video coding using virtual reference picture", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.587306

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available