Multimedia Cover Generation via Comment-Derived Time Periods
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Solution Overview
Problem
Existing methods for generating cover dynamic pictures of multimedia files rely on manual operations, resulting in high labor costs and low efficiency, and often fail to accurately represent the essence of the multimedia content.
Innovation Solution
A method and device that obtain a multimedia file and its corresponding comment set, divide the playback duration into time periods, calculate comment status information for each period, screen out periods meeting a preset condition, and generate dynamic pictures based on these periods, selecting one as the cover dynamic picture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operations are used to generate cover dynamic pictures, then the pictures can be created with human judgment, but labor costs increase and efficiency decreases
Solution Approach 1:
The system automatically generates cover dynamic pictures by utilizing comment data from users watching the multimedia file. The server autonomously selects key moments based on comment density and generates corresponding dynamic pictures without requiring manual intervention, thereby improving efficiency while maintaining quality through data-driven selection.
2Measurement precision
If manual operations are used to generate cover dynamic pictures, then the pictures can be created with human judgment, but labor costs increase
Solution Approach 1:
The patent replaces the mechanical manual operation system with an automated computational system. The server uses algorithms to analyze comment data, determine key moments, and generate dynamic pictures automatically, substituting human labor with automated processing while maintaining or improving selection quality.
3Ease of operation
If traditional methods are used to select key moments, then the selection can be based on operator intuition, but the ability to represent the essence of multimedia content decreases
Solution Approach 1:
The system uses comment data as feedback from actual user viewing behavior to identify key moments. By analyzing where users pause, comment, or show high engagement, the system objectively determines which moments best represent the essence of the multimedia content, replacing subjective operator intuition with data-driven insights.
Data Source
AI summary
The present disclosure describes techniques for generating dynamic image covers of multimedia files. The disclosed techniques comprise obtaining a multimedia file and a plurality of comments associated with the multimedia file, wherein each of the plurality of comments corresponds to a time point of playing the multimedia file, and a duration of playing the multimedia file is divided into a plurality of time periods; determining a status corresponding to each of the plurality of time periods based on a subset of comments among the plurality of comments corresponding to each of the plurality of time periods; identifying at least one time period among the plurality of time periods based on determining that a status corresponding to the at least time period satisfies at least one predetermined rule; and generating a dynamic cover of the multimedia file based on images comprised in the multimedia file during the at least one time period.