A Joint Source Channel Arithmetic Map Decoder Using Probabilistic Relations Among Intra Modes in Predictive Video Compression

In this paper, residual redundancy in compressed videos is exploited to alleviate transmission errors using joint source channel arithmetic decoding. A new method is proposed to estimate a priori probability in MAP metric of H.264 intra modes decoder. The decoder generates a decoding tree using a br...

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Bibliographic Details
Published in:2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1768 - 1772
Main Authors: Kourkchi, Hossein, Lynch, William E., Ahmad, M. Omair
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2018
Subjects:
H.264
Indexes
intra modes
Joint source-channel arithmetic coding
maximum a posteriori (MAP)
Maximum likelihood decoding
Measurement
Probability
Redundancy
Syntactics
ISSN:2379-190X
Online Access:Get full text
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Summary:In this paper, residual redundancy in compressed videos is exploited to alleviate transmission errors using joint source channel arithmetic decoding. A new method is proposed to estimate a priori probability in MAP metric of H.264 intra modes decoder. The decoder generates a decoding tree using a breadth first search algorithm. An introduced statistical model is then implemented stage by stage over the decoding tree. In this model, a priori PMF of intra block modes in a macroblock is estimated from the intra block modes seated in its spatially adjacent macroblocks previously generated up to the current stage of the decoding tree. The estimated PMFs are categorized as either reliable or unreliable based on their local entropies. In the unreliable case, the decoder assumes uniform PMF and switch to ML metric instead. The simulation results show the proposed method reduces the error rate 1 % to 13% at various SNRs compared to the ML.
ISSN:2379-190X
DOI:10.1109/ICASSP.2018.8462054