Media Quality Evaluation Using Rebuffering Interaction and Content Complexity
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Solution Overview
Problem
Existing video quality evaluation methods fail to accurately reflect subjective experiences due to the lack of consideration for multiple rebuffering event interaction impact, initial media quality, and media content complexity.
Innovation Solution
A method that evaluates media quality by obtaining media reference quality and rebuffering event distortion quality, incorporating parameters such as the number of rebuffering events, duration, multiple rebuffering event interaction impact, initial media quality, and media content complexity, and calculating final media quality for each evaluation segment to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing video quality evaluation model is used, then calculation is simple, but evaluation accuracy is insufficient and does not match subjective feelings
Solution Approach 1:
The patent segments the video quality evaluation into multiple independent components: encoding quality evaluation, packet loss quality evaluation, rebuffering quality evaluation, multiple rebuffering interaction evaluation, initial quality evaluation, and content complexity evaluation. Each component is calculated separately and then integrated through a composite function to achieve accurate overall quality assessment while maintaining clear calculation logic for each segment.
Solution Approach 2:
The patent creates a composite evaluation model that integrates six different quality assessment components (encoding quality, packet loss quality, rebuffering quality, multiple rebuffering interaction, initial quality, and content complexity) into a unified video quality evaluation system. This composite approach combines multiple evaluation dimensions to achieve comprehensive and accurate quality assessment that matches subjective human perception.
2Measurement precision
If multiple rebuffering event interaction impact parameter is not considered, then calculation is simpler, but evaluation result is inconsistent with subjective feeling
Solution Approach 1:
The patent introduces an initial quality evaluation component that assesses the video quality before rebuffering events occur. This preliminary quality assessment serves as a baseline that is then combined with rebuffering event impacts and multiple rebuffering interactions to produce the final quality evaluation, ensuring that the initial state of the video is properly accounted for in the overall assessment.
Solution Approach 2:
The patent dynamically evaluates the impact of multiple rebuffering events by considering not just the number of rebuffering events but also their interaction effects. The evaluation adapts to different scenarios where rebuffering events may compound or interact in complex ways, allowing the system to dynamically adjust quality assessment based on the specific sequence and characteristics of rebuffering events encountered.
Data Source
AI summary
In a method for evaluating media quality, media reference quality and rebuffering event distortion quality are obtained, final media quality are determined according to the obtained media reference quality and rebuffering event distortion quality, where a parameter of the rebuffering event distortion quality includes at least one of the following: the number of rebuffering events, a duration of the rebuffering event, a multiple rebuffering event interaction impact parameter, initial media quality, and a factor describing media content complexity. When media quality is calculated, impact of the multiple rebuffering event interaction impact parameter, the initial media quality, and the factor describing media content complexity on the media quality is considered, thereby making a media quality evaluation result more accurate.