Video Tagging Server for Interactive Audiovisual Component Identification
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Solution Overview
Problem
Current video service providers lack a comprehensive solution for tagging and interacting with audiovisual components in video content, limiting user engagement and sponsorship opportunities.
Innovation Solution
A system and method for tagging audiovisual components in video content, allowing users to identify and associate metadata, such as purchasing information, with specific objects or persons in real-time, using a video tagging server that performs image and sound analysis, and integrates with user devices for interactive tagging and playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video service providers provide multiple services and programs, then service variety and customer engagement are improved, but the complexity of managing customer relationships and content increases
Solution Approach 1:
The patent segments video content into discrete audiovisual components (objects, persons, scenes) that can be independently tagged and managed. This segmentation allows complex content to be broken down into manageable units with associated metadata, reducing the complexity of managing diverse content while maintaining service variety.
Solution Approach 2:
The patent introduces an intermediary tagging system that acts as a mediator between content providers and customers. This tagging infrastructure with metadata serves as a bridge, enabling sophisticated content management and personalized service delivery without requiring direct complex interactions between all system components.
2Ease of operation
If users can tag audiovisual components with metadata, then user engagement and interaction with content are improved, but the system complexity and processing requirements increase
Solution Approach 1:
The patent enables users to perform self-service by directly tagging audiovisual components with metadata through intuitive interfaces. Users can identify and tag objects, persons, or scenes without requiring complex technical knowledge, making the system easier to operate while the backend handles the computational complexity.
Solution Approach 2:
The patent replaces complex automated content analysis mechanisms with user-driven tagging. Instead of relying solely on sophisticated automated recognition systems, the system substitutes user interaction for complex processing, leveraging human intelligence to annotate content while keeping the technical infrastructure simpler.
3Measurement precision
If real-time image and sound analysis is performed, then accuracy of audiovisual component identification is improved, but processing time and system resources are consumed
Solution Approach 1:
The patent performs preliminary analysis by pre-tagging and indexing audiovisual components during content delivery or storage. This preliminary action allows accurate identification to be achieved without requiring complex real-time processing during playback, as the analysis is performed in advance when system resources are available.
Solution Approach 2:
The patent employs periodic analysis rather than continuous real-time processing. Image and sound analysis are performed at specific intervals or triggered by events, maintaining accurate identification while reducing processing time and resource consumption by avoiding constant analysis during content consumption.
4Loss of information
If comprehensive metadata is associated with audiovisual components, then information availability and sponsorship opportunities are improved, but data management complexity increases
Solution Approach 1:
The patent segments metadata into structured categories associated with specific audiovisual components (objects, persons, scenes). This segmentation organizes comprehensive information in a manageable way, making it easier to store, retrieve, and utilize for sponsorship opportunities while reducing data management complexity through systematic organization.
Solution Approach 2:
The patent creates a universal tagging system that serves multiple functions: content identification, user interaction, sponsorship integration, and data management. This multi-functional approach consolidates what would otherwise be separate complex systems into a single unified infrastructure, reducing overall data management complexity while maintaining comprehensive information availability.
Data Source
AI summary
A method includes identifying video content that includes an audiovisual component, receiving an identification of the audiovisual component, and receiving at least one component location of the audiovisual component in the video content. Each component location indicates a time and a screen position with which the audiovisual component is associated with in the video content. Component information associated with the audiovisual component is received. A video tag is generated based on the audiovisual component and the component information. The method includes populating one or more fields associated with the video tag based on the component information, the identification of the audiovisual component, and the at least one component location. The method also includes presenting the video tag to a user. The video tag is selectable to present the video content at the at least one component location.