Title :
A Bayesian approach to error concealment in encoded video streams
Author :
Salama, Paul ; Shroff, Ness ; Delp, Edward J.
Author_Institution :
Comput. Vision & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA
Abstract :
In ATM networks cell loss causes data to be dropped in the channel. When digital video is transmitted over these networks one must be able to reconstruct the missing data so that the impact of these errors is minimized. In this paper we describe a Bayesian approach to conceal these errors. Assuming that the digital video has been encoded using the MPEG1 or MPEG2 compression scheme, each frame is modeled as a Markov random field. A maximum a posteriori estimate of the missing macroblocks and motion vectors is described based on the model
Keywords :
Bayes methods; Markov processes; asynchronous transfer mode; digital communication; error correction codes; image sequences; interpolation; maximum likelihood estimation; motion estimation; random processes; video coding; ATM networks; Bayesian approach; MPEG1; MPEG2; Markov random field; cell loss; channel; compression scheme; digital video; encoded video streams; encoding; error concealment; maximum a posteriori estimate; missing data reconstruction; missing macroblocks; motion vectors; Bayesian methods; Computer errors; Image reconstruction; Intelligent networks; Interpolation; Laboratories; Markov random fields; Motion estimation; Streaming media; Video sequences;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560598
