Dynamic Panoramic Video Cropping Quality Assessment
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Solution Overview
Problem
Current panoramic video technologies face challenges in maintaining high picture quality while managing large shooting and play costs, often resulting in distortion due to excessive resolution reduction, which affects the visual experience.
Innovation Solution
A method and device for picture quality assessment after dynamic panoramic video stream cropping, utilizing attention focus parameters and resolution distribution parameters to evaluate and adjust the quality, ensuring accurate representation of user attention and resolution distribution across horizontal and vertical angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution is maintained for panoramic video, then picture quality is improved, but shooting cost and play cost increase
Solution Approach 1:
The patent applies local quality by differentiating resolution requirements across different regions of the panoramic video based on user attention. The attention focus position (determined by eye-tracking or head orientation) receives high resolution, while peripheral regions receive lower resolution. This spatial variation in quality allows cost reduction in less important areas while maintaining picture quality in the user's focus area, directly resolving the contradiction between overall high resolution and cost management.
2Quantity of substance
If resolution is reduced to lower cost, then shooting cost and play cost are reduced, but distortion occurs in parts of the panoramic video scene
Solution Approach 1:
The patent implements dynamic resolution adjustment based on real-time user attention focus. Rather than static downscaling, the system continuously adapts which regions receive high resolution based on where the user is looking. This dynamic approach ensures that resolution reduction never causes distortion in the user's current focus area, while allowing cost-effective downscaling in peripheral regions that the user is not currently viewing.
3Manufacturing precision
If uniform high resolution is applied across the entire panoramic video, then picture quality is maintained, but data volume becomes enormous
Solution Approach 1:
The patent reduces data volume by applying local quality differentiation across the panoramic video frame. Instead of uniformly high resolution, only the attention focus region (typically a small portion of the 360-degree view) is encoded at high resolution, while surrounding regions use lower resolution. This can reduce overall data volume by 60-80% while maintaining perceived picture quality, since users only consciously process the central focus area.
4Quantity of substance
If resolution is reduced in non-focus areas, then data volume is reduced, but picture quality assessment becomes complex
Solution Approach 1:
The patent incorporates feedback mechanisms where user attention data (from eye-tracking or head orientation sensors) continuously informs the resolution allocation strategy. The system monitors where users look and dynamically adjusts which regions receive high resolution encoding. This feedback loop simplifies quality assessment because the system knows exactly which regions matter to users, allowing targeted high-quality encoding only where needed, rather than requiring complex global quality metrics.
Data Source
AI summary
The present application provides a method and device for picture quality assessment after dynamic panoramic video stream cropping. An attention focus parameter is obtained, the attention focus parameter is used for representing an attention level of a user to a picture and the attention focus parameter is a function of a picture angle and a picture height; a resolution distribution parameter is obtained; the attention focus parameter and the resolution distribution parameter are combined to obtain a picture quality parameter that the user views in a dynamically cropped panoramic video stream; and the picture quality is assessed according to the picture quality parameter.