Panoramic Video Coding Distortion Temporal Propagation
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Solution Overview
Problem
Conventional panoramic video coding methods fail to effectively address the impact of redundant pixels generated during the projection of panoramic images and overlook the temporal dependency of coding distortion, leading to suboptimal coding performance.
Innovation Solution
A low-complexity panoramic video coding method that considers distortion temporal propagation by adjusting coding parameters based on the ratio of spherical image area to projected image area and using distortion impact factors to optimize encoding, thereby eliminating the need for caching uncoded frame information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional panoramic video coding is used, then device complexity is low, but coding performance is suboptimal due to ignoring redundant pixels and temporal distortion dependency
Solution Approach 1:
The patent applies local quality by adjusting coding parameters specifically for regions affected by projection distortion (redundant pixels at edges and corners of the panoramic image). Instead of uniform coding across the entire image, the method identifies and separately processes distorted regions, applying appropriate quantization and compression strategies only where needed, thus improving overall coding performance without uniformly increasing complexity across all regions.
Solution Approach 2:
The patent implements preliminary action by pre-calculating distortion impact factors and establishing distortion propagation chains before actual video coding. The method pre-identifies reference frame relationships and potential distortion propagation paths, allowing the encoder to proactively adjust coding parameters for future frames based on predicted distortion patterns, rather than reacting to distortion after it occurs.
2Manufacturing precision
If uncoded frame information is cached to improve coding performance, then coding performance improves, but device complexity and memory requirements increase
Solution Approach 1:
The patent extracts and utilizes only the essential distortion information from reference frames without caching complete uncoded frame data. By separating the critical distortion impact factors from the full frame information, the method achieves improved coding performance through targeted use of reference data, avoiding the memory burden of storing entire uncoded frames while maintaining the benefits of temporal distortion management.
3Manufacturing precision
If temporal dependency of coding distortion is considered, then coding performance improves, but calculation complexity increases
Solution Approach 1:
The patent implements partial action by considering temporal distortion dependency only for frames and regions where it significantly impacts coding performance. Rather than fully analyzing temporal dependencies across all frames and regions, the method selectively applies distortion propagation analysis to key reference frames and distorted regions, achieving substantial performance improvement with reduced computational overhead compared to comprehensive temporal analysis.
Data Source
AI summary
A low-complexity panoramic video coding method considering distortion temporal propagation is provided. By analyzing the inter-frame reference relationships under the random access coding structure and establishing the corresponding distortion propagation chain, the method utilizes distortion impact factors of coding units to adjust encoding parameters, thereby optimizing the encoding process. Furthermore, the method addresses the issue of oversampling arising from the varying geometric deformations in different latitude regions during the projection of spherical images in panoramic videos. This is achieved by adjusting coding parameters based on the ratio of area changes at different latitudes. The proposed approach significantly enhances coding performance.

