Inter-frame Prediction Using Spatial Position for Panoramic Video
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Solution Overview
Problem
Panoramic videos with large field of view and high resolution pose challenges in compression efficiency due to lens distortions and zoom-in/zoom-out effects, which hinder traditional video encoding and decoding methods.
Innovation Solution
An inter-frame prediction method that considers the motion vector of the current image block and related spatial position information of the current pixel to improve the accuracy of motion vectors and enhance prediction performance, using adaptive interpolation filters to account for lens distortions and zoom effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional inter-frame prediction method is used in panoramic video encoding, then the encoding process is simple, but the prediction performance deteriorates due to lens distortions and zoom-in/zoom-out effects
Solution Approach 1:
The patent changes the parameters of motion vector calculation by introducing spatial position information and using adaptive interpolation filters instead of traditional fixed methods. This allows the prediction to account for lens distortions and zoom effects while maintaining manageable encoding complexity through parameter-based adjustments rather than structural changes
Solution Approach 2:
The patent introduces dynamic adaptation by using adaptive interpolation filters that adjust their behavior based on the local characteristics of the panoramic video. The motion vector calculation becomes dynamic by incorporating spatial position information, allowing the system to adapt to varying distortion levels across different regions of the video
2Productivity
If encoding block size is increased to improve encoding efficiency, then the encoding efficiency improves, but the transmission area increases leading to larger data volume
Solution Approach 1:
The patent applies local quality by calculating motion vectors differently for different spatial positions within the video frame. By incorporating spatial position information into the motion vector calculation, the system can adapt to local distortion characteristics, allowing for more efficient encoding without uniformly increasing the transmission area across the entire frame
Data Source
AI summary
A video encoding and decoding method, and its inter-frame prediction method, device and system thereof are disclosed. The inter-frame prediction method includes obtaining a motion vector of the current image block and related spatial position of a current pixel, obtaining a motion vector of the current pixel according to the motion vector of the current image block and the related spatial position of the current pixel; and obtaining a predicted value of the current pixel according to the motion vector of the current pixel. The method considers both the motion vector of the current image block and the related spatial position information of the current pixel during inter-frame prediction. The method can accommodate lens distortion characteristics of different images and zoom-in/zoom-out produced when the object moves in pictures, thereby improving the calculation accuracy of pixels' motion vectors, and improving inter-frame prediction performance and compression efficiency in video encoding and decoding.