Systems and methods for signaling generative face video matrices information in video coding
The implementation of conditional flagging and matrix signaling techniques in video coding standards addresses inefficiencies in generative face video information, enhancing data compression and decoding processes for improved video quality and reduced data requirements.
WO2025215888A1 Publication Date: 2025-10-16SHARP KK
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Patent Information
- Application Number
- PCT/JP2024/045604
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-08
- Filing Date
- 2024-12-24
- Publication Date
- 2025-10-16
AI Technical Summary
Technical Problem
Existing video coding standards struggle with efficient signaling of generative face video information, leading to inefficiencies in data compression and decoding processes.
Method used
Implementing techniques for signaling generative face video information through conditional flags and matrices, allowing for precise control over keypoint coordinates and matrix types, enhancing video encoding and decoding processes.
Benefits of technology
Improves data compression efficiency and decoding accuracy by enabling optimized signaling of generative face video information, facilitating better video quality and reduced data requirements.
✦ Generated by Eureka AI based on patent content.
Abstract
A device may be configured to decode video data based on information included in a generative face video information message. In one example, a generative face video information message includes a flag indicating whether coordinate information of keypoints is present in the generative face video information message. In one example, the generative face video information message conditionally includes a flag indicating whether a number of matrices for a matrix type is equal to an indicated number of keypoints. In one example, a value of the flag indicating whether a number of matrices for a matrix type is equal to the indicated number of keypoints may be inferred when not present.
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