Interactive Video Subject Recognition and Region Generation
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Solution Overview
Problem
Conventional interactive video content lacks interactivity and efficiency in presenting additional content related to visual subjects, limiting user engagement and the usefulness of digital video content.
Innovation Solution
The automated generation of interactive digital video content items using subject recognition, where visual subjects within digital video content are identified, and interactive regions are applied to enable presentation of related content upon user interaction, such as through facial or object recognition, allowing for dynamic presentation of additional content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional video content delivery is used, then the system is simple and easy to implement, but user engagement and interactivity are limited
Solution Approach 1:
The system performs subject recognition and generates interactive regions in advance during video processing. By pre-identifying visual subjects and preparing interactive content associations before video playback, the system enables interactivity without adding complexity to the real-time delivery mechanism.
Solution Approach 2:
The patent introduces an intermediary layer consisting of interactive regions and associated content that mediates between the conventional video stream and user interaction. This intermediary structure enables engagement without fundamentally altering the core video delivery system.
2Productivity
If manual creation of interactive content is used, then content accuracy is high, but production time and cost increase
Solution Approach 1:
The system performs self-service by automatically identifying visual subjects and generating interactive regions without human intervention. The subject recognition algorithm autonomously analyzes video content, detects subjects, and creates interactive associations, eliminating manual labor while maintaining consistent accuracy through automated processing.
Solution Approach 2:
The patent replaces the mechanical manual process of creating interactive content with an automated computational system. Subject recognition technology and image processing algorithms substitute human operators, enabling rapid generation of accurate interactive regions through automated subject detection and classification.
3Adaptability or versatility
If additional content is presented during video playback, then user engagement improves, but processing time and computational resources increase
Solution Approach 1:
The system performs content association and interactive region generation during the video encoding phase rather than during playback. By pre-processing and preparing all interactive content associations before video delivery, the system enables rapid response during playback without real-time processing delays.
Solution Approach 2:
The interactive content presentation is dynamically activated only when users interact with specific regions during playback. The system maintains readiness for multiple content types but only retrieves and displays content when triggered by user interaction, optimizing resource usage during the playback phase.
Data Source
AI summary
In a computer-implemented method for generating an interactive digital video content item, a digital video content item is accessed. Subject recognition is performed on the digital video content item, wherein the subject recognition automatically identifies a visual subject within the digital video content item. Responsive to identifying the visual subject, an interactive region is applied to visual subject within the digital video content item, wherein the interactive region enables presentation of content related to the visual subject in response to a user interaction with the interactive region during presentation of the digital video content item.