Video Signal Extension Region Encoding for Panoramic Motion Compensation
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Solution Overview
Problem
Current video codecs struggle to efficiently encode and decode panoramic video signals, which consist of multiple faces with shared camera centers and edges, due to geometrical distortions across face boundaries, hindering motion compensation performance.
Innovation Solution
The proposed solution involves generating an extension region for a reference frame face based on sample values from adjacent faces and encoding picture level extension usage information to determine necessary extension regions, reducing decoding complexity and adapting extension usage for efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extension regions are generated for all faces in reference frames, then motion compensation performance is improved, but decoding complexity increases
Solution Approach 1:
The patent applies partial action by generating extension regions only when necessary - specifically when motion vectors indicate that motion compensation needs to access pixels beyond face boundaries. The decoder uses a flag to determine whether extension regions should be generated, rather than always generating them. This selective approach maintains motion compensation performance when needed while reducing unnecessary decoding complexity.
Solution Approach 2:
The patent implements preliminary action by generating extension regions in advance during the decoding of reference frames, before motion compensation is actually performed. This allows the motion compensation process to access pre-generated extension regions without real-time computation overhead, improving performance while managing complexity through ahead-of-time preparation.
2Reliability
If extension regions are generated for every face, then motion compensation across boundaries is improved, but processing time increases
Solution Approach 1:
The patent reduces processing time by applying partial action - generating extension regions only for faces that actually require them based on motion vector analysis. The system evaluates motion information and selectively generates extension regions only where boundary crossing is detected, avoiding unnecessary processing time for faces that don't need extension.
Solution Approach 2:
The patent uses preliminary action by generating extension regions during reference frame decoding before motion compensation is needed. This ahead-of-time generation allows the actual motion compensation process to simply access pre-computed extension regions, reducing real-time processing time while maintaining boundary crossing capability.
3Productivity
If all extension regions are decoded, then coding efficiency is improved, but decoding complexity increases
Solution Approach 1:
The patent applies partial action by implementing selective decoding of extension regions based on picture-level extension usage information. The system determines which faces require extension regions and only decodes those specific regions, rather than decoding all extension regions uniformly. This maintains coding efficiency for faces that need it while reducing decoding complexity for faces that don't.
Solution Approach 2:
The patent implements local quality by applying different processing treatments to different faces based on their individual requirements. Each face is evaluated separately, and extension regions are generated or decoded only for faces where motion vectors indicate boundary crossing is needed. This localized approach optimizes the balance between coding efficiency and decoding complexity on a per-face basis.
Data Source
AI summary
A method for encoding a video signal includes generating an extension region of a first face of a reference frame, where the extension region includes a plurality of extension samples, and a sample value of each extension sample is based on a sample value of a sample of a second face of the reference frame, determining a use of an extension region, providing, based on the use, picture level extension usage information based on the extension region, and encoding the picture level extension usage information into an encoded video signal.