Multiview video compression with 1-D transforms |
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| Affiliation: | 1. ASELSAN Inc., Turkey;2. Department of Electrical and Electronics Engineering, Middle East Technical University, Turkey;1. 28 Xianning West Road, Xi׳an Jiaotong University, China;2. 475 Northwestern Ave, Purdue University, USA;3. 2201 West End Ave, Vanderbilt University, USA;1. School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China;2. Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong;3. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China;4. Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau;1. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;2. International Research Institute for Multidisciplinary Science, Beihang University, China;3. National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China;1. School of Communication and Information Engineering, Shanghai University, Shanghai, China;2. Key Laboratory of Advanced Display and System Application, Ministry of Education, Shanghai University, Shanghai 200072, China |
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| Abstract: | Many alternative transforms have been developed recently for improved compression of images, intra prediction residuals or motion-compensated prediction residuals. In this paper, we propose alternative transforms for multiview video coding. We analyze the spatial characteristics of disparity-compensated prediction residuals, and the analysis results show that many regions have 1-D signal characteristics, similar to previous findings for motion-compensated prediction residuals. Signals with such characteristics can be transformed more efficiently with transforms adapted to these characteristics and we propose to use 1-D transforms in the compression of disparity-compensated prediction residuals in multiview video coding. To show the compression gains achievable from using these transforms, we modify the reference software (JMVC) of the multiview video coding amendment to H.264/AVC so that each residual block can be transformed either with a 1-D transform or with the conventional 2-D Discrete Cosine Transform. Experimental results show that coding gains ranging from about 1–15% of Bjontegaard-Delta bitrate savings can be achieved. |
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| Keywords: | Discrete cosine transforms Disparity compensation Multiview video coding |
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