JOURNAL ARTICLE

Prasan Bit Position Match Error Concealment Model with Inverse Relationship Between Motion Frames for Efficient MPEG Video Transmission Over Lossy Communication Networks

Abstract

Emerging trend to provide efficient error concealment using data hiding techniques has gained importance in modern communications due to the security offered in addition to its error handling capabilities. This paper proposes a revolutionary approach to error concealment of predictive coded frames (P-and B-Frames) by hiding in to the intra frame within safe capabilities, a derived mathematical function establishing a bitwise(bit index) relationship of the binarized motion compensated predictive frame with the intra frame in the GOP considered. The bitwise relationship is deliberately established in an unconventional manner between the considered frames for the purpose of providing additional error handling capability. The mathematical functions representing the bit index relationship are made to be redundantly present in both the predictive frame as an additional header and in the intra frame as embedded information. This added redundancy is extremely helpful for error free reconstruction of frames at the decoder despite appreciable packet losses, if any present in the communication network.

Keywords:
Computer science Bitwise operation Header Cyclic redundancy check Inter frame Frame (networking) Residual frame Lossy compression Error detection and correction Redundancy (engineering) Network packet Forward error correction Real-time computing Algorithm Computer vision Reference frame Artificial intelligence Decoding methods Computer network

Metrics

5
Cited By
1.28
FWCI (Field Weighted Citation Impact)
3
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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