Media Guidance App Real-Time Social Chatter Sync

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Solution Overview

Problem

Existing systems fail to provide timely and relevant social chatter for live video broadcasts, often presenting outdated or irrelevant information, especially when featuring celebrities or unknown individuals.

Innovation Solution

A media guidance application that detects persons of interest in live videos, uses facial recognition to identify them, and filters social media updates for relevance, providing real-time updates from the person or closely related individuals, even if the person is unknown by crowdsourcing trending topics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If social media information is supplemented with media broadcasts, then information source diversity is improved, but timeliness and relevance deteriorate

Engineering Contradiction:

Improveinformation source diversityVSAvoidtimeliness

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by detecting persons of interest in the video stream, retrieving their social media profiles in advance, and pre-filtering relevant chatter before the media broadcast reaches the user. This ensures that when information is presented, it is already timely and relevant to the current video content.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system establishes a feedback loop where social media chatter is continuously monitored and filtered based on its relevance to the currently displayed video content. Only chatter that matches the person of interest and is temporally relevant to the video timeline is presented to the user, ensuring both timeliness and relevance.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If social media information is supplemented with media broadcasts, then information source diversity is improved, but relevance to current content deteriorates

Engineering Contradiction:

Improveinformation source diversityVSAvoidrelevance

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system extracts only the relevant portion of social media information by filtering chatter based on person-of-interest identification and temporal relevance to the video content. This extraction process eliminates irrelevant social media posts and focuses only on information that directly relates to the current video segment being displayed.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies local quality by making social media information relevance-dependent on the specific video content being displayed. Different video segments trigger different sets of relevant social media chatter based on the persons of interest detected in each segment, ensuring that the information presented is locally relevant to the current content.

Inventive Principle:

Principle #3Local quality

3Measurement precision

If facial recognition and social media filtering are implemented, then accuracy of person identification is improved, but system complexity increases

Engineering Contradiction:

Improveaccuracy of person identificationVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system achieves universality by using a single integrated platform that performs multiple functions: video analysis for person detection, facial recognition for identification, social media profile retrieval, chatter filtering, and synchronized presentation. This multi-functional approach improves identification accuracy while managing system complexity through consolidation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Ensures that viewers receive timely and relevant social media updates synchronized with live broadcasts, enhancing engagement by focusing on updates that are directly related to the event or the featured individuals.

Implementation Method 1

identify an identity of the person of interest by comparing attributes of the person of interest to entries of a database, such as by capturing an image of a face of the person of interest, identifying distinguishing characteristics of the face of the person of interest using facial recognition technology

Methodology Applied

Scientific EffectFacial recognition: Image Processing

Data Source

PatentUS9668023B1Systems and methods for providing real-time presentation of timely social chatter of a person of interest depicted in media simultaneous with presentation of the media itself

Publication Date: 2017.05.30 ADEIA GUIDES INC

AI summary

Systems and methods are provided herein for detecting a person of interest being displayed in a live video, identifying an identity of the person of interest, and comparing the identity of the person of interest to entries of a database of social media profiles. Control circuitry may identify, based on the comparing, a social media component that corresponds to the person of interest, and may determine whether the person of interest has modified the social media component within a predefined period of time. In response to determining that the person of interest has modified the social media component within a predefined period of time, the control circuitry may provide information relating to a modification of the social media component simultaneously with the live video.