2021 IEEE International Conference on Image Processing (ICIP) 2021
DOI: 10.1109/icip42928.2021.9506399
|View full text |Cite
|
Sign up to set email alerts
|

Neural Network-Based Error Concealment For VVC

Abstract: In this paper we introduce an error concealment method for VVC based on deep recurrent neural networks, which employs the PredNet model to estimate missing video frames by using past decoded frames. The network is trained using the BVI-DVC data set to infer even full-HD frames. We integrated our proposed model in the VVC reference software VTM for its evaluation. It performs, in average, 6 dB or up to 5 dB better than the frame copy model in terms of PSNR measurements for a concealed I-frame or P-frame, respec… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 14 publications
0
1
0
Order By: Relevance
“…However, these place a large bitrate burden on the client device, or can only slightly acommodate for low latencies. In case of a packet loss, i.e., corrupted Network Abstraction Layer Units (NALUs), client-based error concealment algorithms were developed for Advanced Video Coding (H.264/AVC) [6], [7], yet there is only a limited set of equivalent techniques for High Efficiency Video Coding (H.265/HEVC) [8] , let alone Versatile Video Coding (H.266/VVC) [9].…”
Section: Introductionmentioning
confidence: 99%
“…However, these place a large bitrate burden on the client device, or can only slightly acommodate for low latencies. In case of a packet loss, i.e., corrupted Network Abstraction Layer Units (NALUs), client-based error concealment algorithms were developed for Advanced Video Coding (H.264/AVC) [6], [7], yet there is only a limited set of equivalent techniques for High Efficiency Video Coding (H.265/HEVC) [8] , let alone Versatile Video Coding (H.266/VVC) [9].…”
Section: Introductionmentioning
confidence: 99%