Multimedia Point of Interest Detection via Redirection Time Analysis
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Solution Overview
Problem
Manual configuration of multimedia interest points is time-consuming and inefficient, leading to inaccuracies in labeling critical points in multimedia playback systems.
Innovation Solution
A method and system that collect redirection time data from users to segment multimedia content into time sections with the most recorded redirection time, identifying points of interest without requiring manual viewing, and accurately label these points on a progress bar for improved playback efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration method is used to obtain multimedia interest points, then the labeling can be performed, but the workload is excessive and efficiency is low
Solution Approach 1:
The system automatically collects redirection time data from user interactions and uses this data to identify interest points without requiring manual configuration. The server autonomously segments multimedia content, analyzes redirection patterns, and determines interest points based on accumulated user behavior data, enabling the system to serve itself rather than relying on manual human input
Solution Approach 2:
The system performs preliminary data collection by accumulating redirection time information from multiple user interactions before actually determining the interest points. This preliminary accumulation of user behavior data allows the system to make accurate automated decisions without manual intervention when actual interest point identification is needed
2Measurement precision
If manual configuration method is used to obtain interest points, then the process can be completed, but the accuracy is insufficient and deviations occur
Solution Approach 1:
The system collects redirection time data from user interactions as feedback and uses this feedback to automatically adjust and determine interest points. By analyzing patterns in user redirection behavior, the system continuously improves the accuracy of interest point identification without requiring manual verification or adjustment
Solution Approach 2:
The patent replaces the manual mechanical process of watching multimedia content and manually marking interest points with an automated electronic system that analyzes redirection time data. This substitution eliminates human error and operational complexity while improving measurement precision through objective data analysis
Data Source
AI summary
A method and apparatus for obtaining multimedia point of interest includes: obtaining a redirection request for multimedia, and collecting redirection time that is included in the redirection request; segmenting a time period of the multimedia with a predetermined interval, to be multiple time sections; obtaining a number of time sections that have most recorded redirection time; and recording time points that are corresponding to locations of recorded redirection times of the obtained number of time sections, thereby effectively reducing workload and improve efficiency for obtaining multimedia point of interest