Rate-Distortion-Optimized Video Transmission Using Pyramid Vector Quantization

• Published in: IEEE transactions on image processing Vol. 21; no. 8; pp. 3560 - 3572
• Main Authors: Bokhari, S. M. M., Nix, A. R., Bull, D. R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.08.2012; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Bit rate; Codecs; Coding, codes; Detection, estimation, filtering, equalization, prediction; Encoding; Equations; Exact sciences and technology; Image processing; Information, signal and communications theory; Pyramid vector quantization; rate-distortion optimization; Sampling, quantization; Signal and communications theory; Signal processing; Signal, noise; Telecommunications and information theory; Transform coding; Transforms; Vectors; video coding; wireless video; Video coding; Performance evaluation; High resolution; Image processing; Data compression; Wireless telecommunication; Video signal; Entropy; Optimization; Video signal processing; Image coding; Codec; Signal transmission; Growth of error; Motion estimation; Vector quantization; Rate distortion theory; Lossy medium; Image compression; Algorithm; Pyramid vector quantization; rate-distortion optimization; Compression ratio; Signal processing; Error detection; Error correction; wireless video

Conventional video compression relies on interframe prediction (motion estimation), intraframe prediction, and variable-length entropy encoding to achieve high compression ratios but, as a consequence, produces an encoded bit stream that is inherently sensitive to channel errors. In order to ensure...