JVET-X0010 JVET AHG report: Encoding algorithm optimization (AHG10) [P. de Lagrange, R. Sjöberg, A. Tourapis]

This document summarizes the activities of AHG10: Encoding algorithm optimization, between the 23^rd meeting (teleconference, 7-16 July 2021) and the 24^th meeting (teleconference, 6-15 October 2021).

Mandates

At the 23rd meeting of the ITU-T/ISO/IEC Joint Video Experts Team (JVET), an ad hoc group on Encoding algorithm optimization was established with the following mandates:

• Study the impact of using techniques such as tool adaptation and configuration, and perceptually optimized adaptive quantization for encoder optimization.
• Study the impact of non-normative techniques of pre processing for the benefit of encoder optimization.
• Study encoding techniques of optimization for objective quality metrics and their relationship to subjective quality.
• Study optimized encoding for reference picture resampling and scalability modes in VTM.
• Consider neural network-based encoding optimization technologies for video coding standards.
• Investigate other methods of improving objective and/or subjective quality, including adaptive coding structures and multi-pass encoding.
• Study methods of rate control and rate-distortion optimization and their impact on performance, subjective and objective quality.
• Study the potential of defining software configuration settings optimized for subjective quality, and coordinate such efforts with AHG3.

The regular JVET e-mail reflector was used for discussions (jvet@lists.rwth-aachen.de). No e-mail related to AHG10 activity was sent to the JVET reflector during the AHG period.

Overview of input documents related to the AHG

The following input documents were identified to be related to this AHG: