Distributed video coding based on vector quantization: Application to capsule endoscopy |
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| Affiliation: | 1. SP_Lab, Electronics Dept., Mentouri University of Constantine, Algeria;2. SP_Lab and Electrical Eng. Dept., Larbi Ben Mhidi University of Oum el Bouaghi, Algeria;1. Indian Institute of Information Technology Chittoor, Sri City, India;2. Indian Institute of Information Technology Allahabad, India;1. School of Info. and Cont. Eng., China Univ. of Mining and Technology, China;2. School of Info. and Elec. Eng., Jiangsu Vocational College of Business, China;3. The State Info. Center of P.R. China, China;4. BJUT Faculty of Info. Tech., Beijing University of Technology, China;1. National Institute of Telecommunications and ICT, Oran, Algeria;2. PRISME Laboratory, University of Orléans, France;3. XLIM Laboratory, University of Poitiers, France;1. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China;2. Advanced Analytics Institute, University of Technology Sydney, Sydney 2007, Australia;3. School of Information Science and Engineering, Yunnan University, Kunming 650091, China;4. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;5. Chinese University of Hong Kong, Shatin, Hong Kong;1. Department of Applied Mathematics, School of Natural and Applied Sciences, Northwestern Polytechnical University, Xi’an 710072, PR China;2. Department of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada |
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| Abstract: | 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. |
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| Keywords: | Distributed video coding Wireless capsule endoscopy Vector quantization Side information Image compression |
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