Energy information for neural network post filter

By integrating energy information into video bitstreams for neural network post-filters, the patent addresses the challenge of high energy consumption in video coding systems, enabling efficient and optimized use of these filters based on energy criteria.

WO2026008378A1 Publication Date: 2026-01-08INTERDIGITAL CE PATENT HOLDINGS SAS
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Patent Information

Application Number
PCT/EP2025/067596
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-04
Filing Date
2025-06-23
Publication Date
2026-01-08

AI Technical Summary

Technical Problem

Modern video coding systems face challenges in managing energy consumption, particularly with the introduction of neural-network post-filters, which can significantly increase energy requirements for processing and display, especially in consumer electronics.

Method used

Incorporating syntax elements in the video bitstream to provide energy information related to neural network post-processing filters, allowing decoders to make informed decisions about applying these filters based on energy criteria, such as energy consumption and savings.

Benefits of technology

Enables efficient management of energy usage by allowing decoders to selectively apply neural network post-filters, reducing overall energy consumption and optimizing performance based on device capabilities and user preferences.

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Abstract

Specific syntax elements define energy characteristics of a neural network post-processing filter (NNPF) used in a video coding system. An encoded video bitstream carries such syntax elements from an encoding device to a decoding device, thus allowing the encoding device to provide energy consumption information related to the NNPF and allowing the decoding device to handle its energy consumption by deciding whether or not it should apply the NNPF. An encoding method, a decoding method, an encoding apparatus and a decoding apparatus are described.
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