Playback Optimization via Freezing Type Classification
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Solution Overview
Problem
Existing playback optimization methods for addressing freezing issues during online media playback have poor effects and negatively impact the playback experience.
Innovation Solution
A method and system for optimizing playback by judging if a player is in a freezing state, obtaining freezing information, and determining a freezing type to instruct corresponding optimization operations, which includes locating target and inducing freezing reasons from various categories such as seeking, network, media, GAP, performance, and internal player reasons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quality switching is performed to eliminate freezing during media playback, then playback freezing is reduced, but playback optimization effect is poor and playback experience is affected
Solution Approach 1:
The patent segments the freezing problem into multiple dimensions by classifying freezing types based on different causes (network freezing, buffer freezing, decoding freezing, etc.). Each freezing type is handled with a specific optimization strategy rather than a generic quality switching approach, thereby improving optimization effectiveness while maintaining manageable system complexity through structured classification.
Solution Approach 2:
The patent changes the parameter of optimization strategy by selecting different operations based on the identified freezing type. Instead of uniformly switching quality, the system adjusts parameters such as buffer size, network timeout, decoding configuration, or quality level according to the specific freezing cause, achieving better optimization effects with targeted parameter adjustments.
2Ease of manufacture
If generic quality switching is used for playback optimization, then implementation is simple, but optimization effect is poor
Solution Approach 1:
The patent implements a feedback mechanism that monitors playback state and identifies the specific freezing type occurring. Based on this feedback, the system selects and executes the appropriate optimization operation from a set of predefined strategies. This feedback-driven approach maintains implementation simplicity through automated decision-making while significantly improving optimization effectiveness by matching solutions to actual problems.
3Measurement precision
If multidimensional freezing information is collected and analyzed, then freezing type classification is refined, but system complexity increases
Solution Approach 1:
The patent segments the complex information processing task by creating a structured classification framework for different freezing types. Each freezing dimension (network, buffer, decoding, etc.) is analyzed independently and then integrated to determine the overall freezing type. This segmentation approach enables precise freezing reason identification while managing system complexity through modular information processing.
Solution Approach 2:
The patent applies local quality analysis by examining specific aspects of playback state (buffer level, network speed, decoding status) relevant to each freezing type. Rather than uniformly analyzing all information equally, the system focuses processing on the local conditions most indicative of the specific freezing cause, improving identification accuracy while reducing unnecessary processing complexity.
Data Source
AI summary
A method of optimizing playback, the method including: determining whether a player is in a freezing state; obtaining freezing information of the player when the player is in the freezing state; and determining a freezing type based on the freezing information, wherein the freezing type is used to instruct the player to perform a corresponding optimization operation. According to the present application, a freezing classification may be performed based on the freezing information to obtain refined freezing types, and different optimization strategies may be formulated respectively based on the freezing types to implement playback optimization, thereby improving playback optimization effect and optimization efficiency and improving playback experience.