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In many practical transcoding applications, such as video surveillance, the source videos are often contaminated by noise. The presence of noise not only results in poor compression efficiency and visual quality, but also imposes an adverse effect on the performance of subsequent video analysis tasks. Thereby it is very necessary to denoise the video. In this paper, we propose an efficient mode decision...
The goal of learning-based image Super-Resolution (SR) is to generate a plausible and visually pleasing High-Resolution (HR) image from a given Low-Resolution (LR) input. The problem is dramatically under-constrained, which relies on examples or some strong image priors to better reconstruct the missing HR image details. This paper addresses the problem of learning the mapping functions (i.e. projection...
Mixing multiple channel video streams is an essential function for the multiple-point processing unit of video conference system. The traditional mixing methods have the disadvantage of high computational complexity and severe image distortion. This paper proposed a mixing method based on the video syntax and semantics mapping in DCT-domain. The experimental results reveal that the PSNR has shown...
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