Reference Picture Resampling (RPR) is a powerful tool that allows improving video coding efficiency of next generation codecs like Versatile Video Coding (VVC) or Enhanced Compression Model (ECM). This feature is well designed to support frame changing resolution without inserting an instantaneous decoder refresh (IDR) or intra random access picture (IRAP). Video streaming and low delay scenarios can take advantage of RPR to ensure a smooth frame-based bit-rate adaptation, compared to traditional techniques that can generate bitrate leaps.
This paper proposes an encoder method to select the picture resolution change parameters effectively depending on the video signal characteristics. The picture resolution change decision is based on a low complexity neural network, and it is performed before the encoding process without RD-score computations making this approach suitable for real time and low delay implementation.
The experiments under Random Access (RA) and All Intra (AI) configurations of the VVC Test Model (VTM-21.1) show that the proposed method can bring luma BD-rate gain improvement of 1.46% and 0.95% respectively compared to the VVC Test Model anchor.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.