Hu, YueyuYueyuHuYang, WenhanWenhanYangXia, SifengSifengXiaWEN-HUANG CHENGLiu, JiayingJiayingLiu2023-02-232023-02-232018-07-19978153864883410680314https://scholars.lib.ntu.edu.tw/handle/123456789/628755Intra prediction is one of the important parts in video/image codec. With intra prediction mechanism, spatial redundancy can be largely removed for further bit saving. However, current state-of-the-art intra prediction method does not produce satisfactory prediction result due to its limits in reference samples and modeling ability. To enhance the intra prediction in HEVC, in this paper, a deep neural network featuring spatial RNN, which models the spatial dependency of pixels as sequential dynamics, is proposed to generate better prediction signals. Experimental results show improvement in BD-Rate for the proposed method compared with the original HEVC prediction scheme.HEVC | Intra Prediction | Recurrent Neural Network | Video Codingconference paper10.1109/DCC.2018.000662-s2.0-85050985854https://api.elsevier.com/content/abstract/scopus_id/85050985854