Title
Iterative error detection and correction of H.263 coded video for wireless networks
Abstract
Due to the use of variable length code (VLC), a single bit error in the discrete cosine transform (DCT)-based coded bit stream, such as H.263, may propagate up to the end of the group of blocks (GOBs) or slice. In this paper, we propose an iterative error detection and correction algorithm for the slice mode of the H.263 bit stream. The visibly erroneous macroblocks (MBs) in the decoded frames are detected by checking a set of error detection conditions derived from the redundant information (such as neighboring MBs and inner-DCT block similarity measure) inherent within the frame. In each slice, the part of the bit stream before the first erroneous MB is decoded in the conventional manner. The remaining part after this MB is redecoded iteratively, skipping one bit at a time until a decodable subbit stream is found. In case an MB is nondecodable, it is replaced with gray level. Once all the slices are checked, the frame is reconstructed and again checked for erroneous MBs. This process is repeated until the decoder detects no more corrupted MB. The proposed step-by-step decoding technique limits the error into a few MBs only, which can easily be concealed by any error concealment technique. The simulation results demonstrate that our scheme can recover the corrupted frames under the bit error rates up to 1% over binary symmetric channel (BSC), and improve the concealed picture quality by 4-6 dB over the conventional methods.
Year
DOI
Venue
2004
10.1109/TCSVT.2004.837018
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
corrupted mb,single bit error,error detection condition,bit stream,wireless network,decodable subbit stream,error concealment technique,bit error rate,h.263 bit stream,iterative error detection,erroneous mb,redundancy,gray codes,binary codes,binary symmetric channel,image reconstruction,error detection and correction,group codes,discrete cosine transform,channel coding,variable length code,error detection
Computer vision,Binary symmetric channel,Computer science,Binary code,Discrete cosine transform,Error detection and correction,Gray code,Artificial intelligence,Decoding methods,Bitstream,Variable-length code
Journal
Volume
Issue
ISSN
14
12
1051-8215
Citations 
PageRank 
References 
13
0.73
23
Authors
4
Name
Order
Citations
PageRank
E. Khan15612.71
S. Lehmann2130.73
H. Gunji3130.73
Mohammed Ghanbari41197169.16