REVIEW 1 cited by
Overview of Screen Content Coding in Recently Developed Video Coding Standards
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In recent years, screen content (SC) video including computer generated text, graphics and animations, have drawn more attention than ever, as many related applications become very popular. To address the need for efficient coding of such contents, a number of coding tools have been specifically developed and achieved great advances in terms of coding efficiency. The inclusion of screen content coding (SCC) features in all the recently developed video coding standards (namely, HEVC SCC, VVC, AVS3, AV1 and EVC) demonstrated the importance of supporting such features. This paper provides an overview and comparative study of screen content coding technologies, with discussions on the performance and complexity aspects for the tools developed in these standards.
Forward citations
Cited by 1 Pith paper
-
NeR-SC: Adapting Neural Video Representation to Screen Content
NeR-SC introduces three screen-content-specific modules to a neural video backbone, achieving higher PSNR than prior neural methods and competitive with traditional codecs at low bitrates, with real-time decoding.
Discussion (0). Sign in to comment.