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Deep Video Prediction Network-ased Inter-Frame Coding in HEVC
- Deep Video Prediction Network-ased Inter-Frame Coding in HEVC
- Lee, Jung-Kyung; Kim, Nayoung; Cho, Seunghyun; Kang, Je-Won
- Ewha Authors
- SCOPUS Author ID
- Issue Date
- Journal Title
- IEEE ACCESS
- IEEE ACCESS vol. 8, pp. 95906 - 95917
- Virtual private networks; Encoding; Video coding; Kernel; Interpolation; Extrapolation; Convolution; deep learning; convolutional neural network; video prediction network; inter-prediction; virtual reference frame; HEVC; VVC
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- SCIE; SCOPUS
- Document Type
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- In this paper, we propose a novel Convolutional Neural Network (CNN) based video coding technique using a video prediction network (VPN) to support enhanced motion prediction in High Efficiency Video Coding (HEVC). Specifically, we design a CNN VPN to generate a virtual reference frame (VRF), which is synthesized using previously coded frames, to improve coding efficiency. The proposed VPN uses two sub-VPN architectures in cascade to predict the current frame in the same time instance. The VRF is expected to have higher temporal correlation than a conventional reference frame, and, thus it is substituted for a conventional reference frame. The proposed technique is incorporated into the HEVC inter-coding framework. Particularly, the VRF is managed in a HEVC reference picture list, so that each prediction unit (PU) can choose a better prediction signal through Rate-Distortion optimization without any additional side information. Furthermore, we modify the HEVC inter-prediction mechanisms of Advanced Motion Vector Prediction and Merge modes adaptively when the current PU uses the VRF as a reference frame. In this manner, the proposed technique can exploit the PU-wise multi-hypothesis prediction techniques in HEVC. Since the proposed VPN can perform both the video interpolation and extrapolation, it can be used for Random Access (RA) and Low Delay B (LD) coding configurations. It is shown in experimental results that the proposed technique provides & x2212;2.9 & x0025; and & x2212;5.7 & x0025; coding gains, respectively, in RA and LD coding configurations as compared to the HEVC reference software, HM 16.6 version.
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