Enhanced intra prediction with recurrent neural network in video coding
Journal
Data Compression Conference Proceedings
Journal Volume
2018-March
ISBN
9781538648834
Date Issued
2018-07-19
Author(s)
Abstract
Intra 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.
Subjects
HEVC | Intra Prediction | Recurrent Neural Network | Video Coding
Type
conference paper