JOURNAL ARTICLE

Error-resilient video coding with channel-optimized trellis-coded quantization

Abstract

We present an error-resilient channel-optimized coder for the transmission of video over noisy channels. The proposed coder uses a robust channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the video coding based on the channel characteristics. The resilience to channel errors is obtained only at the level of the source encoder, with no explicit use of channel coding. The robust nature of the coder increases the security level of the encoded bit stream, and eliminates impulsive artifacts induced by channel errors. A novel adaptive classification scheme is employed, which eliminates the need for entropy coding and motion compensation. Consequently, the proposed channel-optimized video coder is especially suitable for wireless video transmission due to its reduced complexity, its robustness to nonstationary signals and channels, and its increased security level. Simulation results are presented to illustrate the performance of the proposed video coder for a wide variety of channel conditions, without the use of error concealment techniques.

Keywords:
Computer science Encoder Coding tree unit Channel (broadcasting) Entropy encoding Coding (social sciences) Bitstream Algorithm Robustness (evolution) Quantization (signal processing) Binary erasure channel Motion compensation Real-time computing Decoding methods Channel capacity Computer network Mathematics

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FWCI (Field Weighted Citation Impact)
6
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0.24
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Topics

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

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