Title :
Error concealment for shape in MPEG-4 object-based video coding
Author :
Huang, Cheng ; Salama, Paul
Author_Institution :
NTIUS Inc., Irvine, CA, USA
fDate :
4/1/2005 12:00:00 AM
Abstract :
In asynchronous transfer mode networks, cell loss or channel errors can cause data to be dropped in the channel. When digital images/videos are transmitted over these networks, one must be able to reconstruct the missing data so that the impact of the errors is minimized. In this paper, we present an error-concealment technique for shape in MPEG-4 object-based video coding. This method, which is based on using global motion estimation and compensation techniques for boundary recovery, consists of three steps: 1) boundary extraction from shape; 2) boundary patching using global motion compensation; and 3) boundary filling to reconstruct the shape of the damaged video object planes. Global motion parameters are inserted as part of the USER_DATA field in the compressed stream and are utilized in reconstructing the damaged boundaries of compressed video object planes.
Keywords :
asynchronous transfer mode; computational complexity; data compression; feature extraction; image reconstruction; motion compensation; motion estimation; video coding; MPEG-4 object-based video coding; asynchronous transfer mode network; boundary patching; channel error; compressed video object plane; digital image transmission; digital video transmission; error concealment technique; global motion estimation; motion compensation technique; Asynchronous transfer mode; Data mining; Digital images; Image reconstruction; MPEG 4 Standard; Motion compensation; Motion estimation; Shape; Video coding; Video compression; Boundary reconstruction; MPEG-4; error concealment; object based; shape coding; video coding; Algorithms; Artificial Intelligence; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Multimedia; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2004.841197