Live Video Social Media Overlay for Unknown Persons
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Solution Overview
Problem
Existing systems fail to provide timely and relevant social chatter for live video broadcasts, often presenting information that is not synchronized with the video content and may not be relevant to the event being displayed.
Innovation Solution
A media guidance application that detects a person of interest in a live video, uses facial recognition to identify them, and searches social media platforms for their updates, filtering and displaying only relevant and timely information that matches the event, while also considering updates from closely related individuals or unknown persons identified through trending topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If social media information is supplemented for live video broadcasts, then viewer engagement is enhanced, but the information is not timely and not relevant to the video content
Solution Approach 1:
The system performs preliminary actions by detecting persons of interest in the video content before searching for corresponding social media updates. Facial recognition technology is used to identify individuals in the video, and their identities are obtained in advance, enabling the system to proactively search for relevant social media content rather than passively collecting and filtering general social media data.
Solution Approach 2:
The system establishes a feedback loop where social media updates are continuously monitored and matched against current video content. The system determines whether persons of interest are present in the current video frame, and based on this feedback, dynamically retrieves and displays corresponding social media updates, ensuring the information remains relevant and timely throughout the broadcast.
2Reliability
If facial recognition technology is used to identify persons of interest, then relevant social chatter can be obtained, but the system complexity increases
Solution Approach 1:
The system uses an intermediary approach by leveraging existing facial recognition technology and social media database systems rather than building proprietary solutions. The patent integrates with existing platforms that provide facial recognition capabilities and social media data access, reducing the need to develop complex proprietary systems while maintaining high identification accuracy.
Solution Approach 2:
The system achieves universality by designing a framework that can work with multiple social media platforms and various video sources simultaneously. The architecture is platform-agnostic, allowing it to integrate with different facial recognition services and social media APIs, making the system broadly applicable without requiring platform-specific customizations.
3Loss of information
If social media updates from unknown persons are crowdsourced using trending topics, then relevant information can be found, but false information may be included
Solution Approach 1:
The system applies partial action by focusing on trending topics and high-impact social media content rather than attempting to process all social media updates. By concentrating on the most relevant and frequently discussed topics, the system achieves effective coverage without the need to verify every single social media post, balancing completeness with practical constraints.
Data Source
AI summary
Systems and methods are described herein for detecting that a person of interest is displayed in a live video for a threshold amount of time, attempting to identify an identity of the person determining that the attempting has failed, identifying broadcast times corresponding to a period of time in which the person was displayed in the live video, identifying trending topics in a social media space that relate to the live video, ascertaining an identity of the person of interest based on the trending topics, comparing the identity of the person of interest to a database of social media profiles, identifying a social media component that corresponds to the person, determining whether the person has modified the social media component within a predefined period of time, and providing information relating to a modification of the social media component simultaneously with the video.