View : 320 Download: 0

Deep Video Prediction Network-ased Inter-Frame Coding in HEVC

Title
Deep Video Prediction Network-ased Inter-Frame Coding in HEVC
Authors
Lee, Jung-KyungKim, NayoungCho, SeunghyunKang, Je-Won
Ewha Authors
강제원
SCOPUS Author ID
강제원scopus
Issue Date
2020
Journal Title
IEEE ACCESS
ISSN
2169-3536JCR Link
Citation
IEEE ACCESS vol. 8, pp. 95906 - 95917
Keywords
Virtual private networksEncodingVideo codingKernelInterpolationExtrapolationConvolutiondeep learningconvolutional neural networkvideo prediction networkinter-predictionvirtual reference frameHEVCVVC
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCIE; SCOPUS WOS
Document Type
Article
Abstract
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.
Show the fulltext
DOI
10.1109/ACCESS.2020.2993566
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE