Abstract
Video coding was proposed and developed by JCT-VC. Screen content video generally contains some complex texture, such as text, graphics, images and other natural mix and so on. The most popular coding scheme is H2.264. But for the screen content video H2.264 can not achieve significant performance as it works on natural video. In this paper, we proposed-pixel prediction method based on dynamic contour matching. First, apply rearrangement procedure for avoiding error spreading by pixel prediction. Then, build a dynamic contour including sets of pixels for each pixel to be predicted as a template to search for the most similar template. Meanwhile, using hash table for accelerating searching procedure. This method takes advantage of more repetitive pattern for designing a novel framework. Experimental results show that Our proposed method improves about 2.612 dB and saves 12.5% bitrate in comparison with the HEVC range extension software HM12.0+RExt4.1.
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Yuan, H., Pin, T., Shi, Y. (2016). Dynamic Contour Matching for Lossy Screen Content Picture Intra Coding. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9917. Springer, Cham. https://doi.org/10.1007/978-3-319-48896-7_32
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DOI: https://doi.org/10.1007/978-3-319-48896-7_32
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