MPAI publishes A-based video up-sampling filter standard with online demo of standard performance

MPAI the international, non-profit, unaffiliated organisation developing AI-based data coding standards has concluded its 62nd General Assembly (MPAI-62) publishing the EVC-UFV Up-sampling Filter for Video applications standard.
- (1888PressRelease) December 02, 2025 - Geneva, Switzerland - MPAI - Moving Picture, Audio and Data Coding by Artificial Intelligence - the international, non-profit, unaffiliated organisation developing AI-based data coding standards - has concluded its 62nd General Assembly (MPAI-62) publishing the EVC-UFV Up-sampling Filter for Video applications standard.
Technical Specification: AI-Enhanced Video Coding (MPAI-EVC) Up-sampling Filter for Video applications (EVC-UFV) V1.0 (https://mpai.community/standards/mpai-evc/ufv/v1-0/) provides two standard methodologies 1) to design AI-based Super-resolution up-sampling filters for video applications and 2) to reduce the complexity of the designed filters without substantially affecting their performance. The parameters provided in EVC-UFV standard may be used to test the filter performance. Alternatively, an application at https://experts.mpai.community/software/evc/ufv1_0/ can be used to submit an image and receive an up-sampled version of the image.
After publishing the Autonomous User Architecture Call for Technologies (https://mpai.community/standards/mpai-pgm/aua/v1-0/) , MPAI has extended its Tentative Technical Specification: Pursuing Goal in metaverse (MPAI-PGM) Autonomous User Architecture (PGM-AUA https://mpai.community/standards/mpai-pgm/aua/v1-0/#Tentative) originally attached to the Call. This addendum is a concrete example of the standard that MPAI seeks to develop with the PGM-AUA Call. Respondents to the Call are encouraged to read, comment on, change, or extend this document in their responses. Alternatively, they can submit their responses with a content unrelated to this document but relevant to the Call. The video recording of the online presentation of the Call is available at https://mpai.community/community/presentations/. Deadline for submissions is 19 January 2026.
MPAI is continuing the development of its work plan that involves the following activities:
1. AI Framework (MPAI-AIF https://mpai.community/standards/mpai-aif/): reference software, conformance testing, and application areas.
2. AI for Health (MPAI-AIH https://mpai.community/standards/mpai-aih/): reference model and technologies for a system enabling clients to improve models processing health data and federated learning to share the training.
3. Context-based Audio Enhancement (CAE-DC https://mpai.community/standards/mpai-cae/): new projects.
4. Connected Autonomous Vehicle (MPAI-CAV https://mpai.community/standards/mpai-cav/): Functional Requirements of CAV architecture.
5. Compression and Understanding of Industrial Data (MPAI-CUI https://mpai.community/standards/mpai-cui/): preparation for extension of existing standard.
6. End-to-End Video Coding (MPAI-EEV https://mpai.community/standards/mpai-eev/): video coding using AI-based End-to-End Video coding.
7.AI-Enhanced Video Coding (MPAI-EVC https://mpai.community/standards/mpai-evc/). video coding with AI tools added to existing tools.
8. Governance of the MPAI Ecosystem (MPAI-GME https://mpai.community/standards/mpai-gme/): working on version 2.0 of the Specification.
9. Human and Machine Communication (MPAI-HMC https://mpai.community/standards/mpai-hmc/): model and technologies enabling a human or a machine to communicate with a machine or a human in a different cultural environment.
10.Multimodal Conversation (MPAI-MMC https://mpai.community/standards/mpai-mmc/): reference software, drafting conformance testing, and new areas.
11. MPAI M. Model (MPAI-MMM https://mpai.community/standards/mpai-mmm/): reference software and model technologies requiring standards.
12.Neural Network Watermarking (MPAI-NNW https://mpai.community/standards/mpai-nnw/): reference software for enhanced applications.
13. Object and Scene Description (MPAI-OSD https://mpai.community/standards/mpai-osd/): finalising V1.2 and developing reference software, conformance testing and new areas for digital humans.
14. Portable Avatar Format (MPAI-PAF https://mpai.community/standards/mpai-ara/): reference software, conformance testing and new areas.
15. AI Module Profiles (MPAI-PRF https://mpai.community/standards/mpai-prf/): to specify which features an AI Module supports.
16.Server-based Predictive Multiplayer Gaming (MPAI-SPG https://mpai.community/standards/mpai-spg/): technical report on mitigation of data loss and cheating.
17.Data Types, Formats, and Attributes (MPAI-TFA https://mpai.community/standards/mpai-tfa/): extending he standard to data types used by other MPAI standards.
18. XR Venues (MPAI-XRV https://mpai.community/standards/mpai-xrv/ ): preparation for the development of the standard.
Legal entities and representatives of academic departments supporting the MPAI mission and able to contribute to the development of standards for the efficient use of data can become MPAI members (https://mpai.community/2022/11/02/seven-good-reasons-to-join-mpai/).
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