Video Stutter Prediction Using Playback and Server Signals
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Solution Overview
Problem
Existing video playback systems cannot predict video stutter in advance, leading to poor user experience due to delayed detection of video playback issues.
Innovation Solution
A method and apparatus for predicting video stutter by acquiring current playing and service information, using a pre-set stutter prediction model to determine stutter results before playback, and adjusting video parameters to prevent stutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video playback is monitored after playback occurs to detect stutter, then stutter detection can be performed, but the stutter result cannot be obtained in advance and video smoothness cannot be effectively ensured
Solution Approach 1:
The patent applies preliminary action by collecting and analyzing playing information (download speed, buffer status, network conditions) and service information (server load, CDN status, video encoding parameters) before video playback occurs. A prediction model processes this data to forecast potential stutter issues in advance, allowing the system to proactively adjust download speeds or buffer allocations to prevent stutter before it happens, thus resolving the contradiction between detection accuracy and response time.
2Reliability
If real-time prediction model is used to predict video stutter, then video smoothness can be ensured in advance, but system complexity increases
Solution Approach 1:
The patent segments the prediction system into distinct functional modules: an information collection module that gathers playing and service information, a prediction model module that processes the data, and an execution module that implements adjustments. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining reliable video smoothness prediction.
Solution Approach 2:
The patent introduces an intermediary prediction model that acts as a mediator between raw system data and playback control decisions. This intermediary layer processes complex multi-source information (network conditions, server status, client performance) and transforms it into simple actionable predictions, simplifying the decision-making process while ensuring reliable video smoothness without requiring direct complex interactions between all system components.
Data Source
AI summary
A video stutter prediction method and apparatus, device and medium are provided. The video stutter prediction method includes: acquiring current playing information when a currently downloaded video is played; acquiring current service information of a server; and according to a pre-set stutter prediction model, the current playing information and the current service information, determining a stutter prediction result when a video to be downloaded at present is played.