Event Information Generation for Content Highlighting
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Solution Overview
Problem
Users on image sharing sites face difficulty in identifying interesting content among numerous uploads, making it hard for content distributors to attract viewers, as existing systems lack a method to automatically associate attention-grabbing information with content.
Innovation Solution
An information processing system that includes a voice acquisition section, recording processing section, voice detection section, and event information generation section to create and transmit event information, such as start and end times of user interactions, to associate user engagement data with content files, helping viewers quickly identify highlights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content is uploaded to an image sharing site with many items of content, then the content is stored and accessible, but viewing users cannot easily determine which content is interesting and the content gets buried
Solution Approach 1:
The patent extracts key event information (user interactions, reactions, engagement metrics) from the content and separates it as metadata that can be independently displayed. This allows the highlight information to be taken out from the bulk content and presented separately to viewing users, solving the problem of content being buried among many items.
Solution Approach 2:
The patent uses visual indicators (such as icons, colors, or highlights) to mark content with interesting event information. These visual changes make the content stand out from ordinary content items, allowing viewing users to quickly identify and select content that is likely to be interesting without having to examine each item in detail.
2Ease of operation
If event information is generated and transmitted to highlight user engagement, then viewers can instantly recognize interesting content, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically detecting user interactions and generating event information metadata during content playback. This preparation work is done in advance, so when viewing users browse content, the highlight information is already ready and can be displayed immediately without requiring complex real-time analysis, thus reducing the perceived system complexity.
Solution Approach 2:
The patent introduces an intermediary component (event information generation unit) that acts as a mediator between the content playback system and the user interface. This intermediary handles the complex tasks of detecting user interactions, generating event metadata, and formatting it for display, thereby isolating the complexity from the main system and making the overall architecture more manageable.
Data Source
AI summary
A voice acquisition section 126 acquires a voice of a user viewing content. A recording processing section 116 records content data and user voice data and generates a content file in which the content data and the user voice data are associated with a recording time. A voice detection section 136 detects whether or not the voice of the user has been acquired by the voice acquisition section 126. An event information generation section 140 generates event information including a start time and an end time of the acquisition of the voice of the user. A communication section 102 transmits the event information to a server.