Title :
Packet Video Error Concealment With Gaussian Mixture Models
Author :
Persson, Daniel ; Eriksson, Thomas ; Hedelin, Per
Author_Institution :
Chalmers Univ. of Technol., Goteborg
Abstract :
In this paper, Gaussian mixture modeling is applied to error concealment for block-based packet video. A Gaussian mixture model for video data is obtained offline and is thereafter utilized online in order to restore lost blocks from spatial and temporal surrounding information. We propose estimators on closed form for missing data in the case of varying available neighboring contexts. Our error concealment strategy increases peak signal-to-noise ratio compared to previously proposed schemes. Examples of improved subjective visual quality by means of the proposed method are also supplied.
Keywords :
Gaussian processes; video coding; Gaussian mixture models; packet video error concealment; surrounding information; video modeling; visual quality; Bandwidth; Decoding; Layout; Motion estimation; Redundancy; Signal restoration; Spatiotemporal phenomena; Streaming media; Transform coding; Video compression; Error concealment; Gaussian mixture model (GMM); packet video; video modeling; Algorithms; Artifacts; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Statistical; Normal Distribution; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2007.914151
