Distributed video coding based on vector quantization: Application to capsule endoscopy
| Autor: | Djamel Eddine Boudechiche, Mohammed Khamadja, Said Benierbah |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science Hash function ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codebook Vector quantization Code word 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology computer.file_format JPEG Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Encoder computer Decoding methods Coding (social sciences) |
| Zdroj: | Journal of Visual Communication and Image Representation. 49:14-26 |
| ISSN: | 1047-3203 |
| DOI: | 10.1016/j.jvcir.2017.07.007 |
| Popis: | We present in this paper a new distributed video coding (DVC) architecture for wireless capsule endoscopy. It is based on the state of the art DVC systems, but without using key frames. Instead, it uses an adapted vector quantization (VQ) with a searching complexity that is shifted to the decoder. VQ allows creating a good side information (SI) by exploiting the similarities in human anatomy. Thus, SI is created from a codebook (CB) rather than by motion compensated prediction. This approach decreases largely the complexity of the encoder, which codes only Wyner-Ziv frames, and allows a progressive decoding. The encoder of the proposed DVC generates only a simple hash that is used by the decoder to select the corresponding VQ codeword. The obtained experimental results show that rate-distortion results are better than those of JPEG, and show the possibility of using scalable coding to control the used rate and energy. |
| Databáze: | OpenAIRE |
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