Video Distribution Platform Real-Time Content Curation

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Solution Overview

Problem

Current technologies face challenges in curating, validating, and distributing live video content in real-time across multiple platforms, leading to content clutter and difficulties in targeting relevant audiences, while also failing to prevent the spread of inappropriate or 'fake news' content.

Innovation Solution

A video distribution platform that receives, evaluates, and curates live video content using machine learning to analyze meta-information and video streams, adding relevant attributes, selecting appropriate publication channels, and pushing content to relevant audiences while ensuring safety and compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If video content is distributed to multiple platforms simultaneously, then audience reach is improved, but content clutter increases and relevance decreases

Engineering Contradiction:

Improveaudience reachVSAvoidcontent relevance

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system applies local quality by customizing content distribution to specific platforms and audiences. The video content is analyzed and tagged with metadata, then selectively pushed to relevant publication channels based on audience matching, ensuring each platform receives appropriately tailored content rather than uniform distribution.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The video distribution platform acts as an intermediary between the mobile device and multiple publication channels. It receives video content, processes it through evaluation and tagging, and then intelligently distributes it to appropriate platforms, preventing direct cluttered distribution while maintaining broad reach.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If all incoming video streams are processed and evaluated in real-time, then content relevance is improved, but system complexity and processing time increase

Engineering Contradiction:

Improvecontent evaluation accuracyVSAvoidprocessing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-defining evaluation criteria, tags, and publication channel categories before video content arrives. When video streams are received, they are quickly matched against these pre-established parameters, reducing real-time processing complexity while maintaining evaluation accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The evaluation process is segmented into distinct modular steps: receiving video content, extracting metadata, evaluating against criteria, tagging with relevant labels, selecting publication channels, and pushing to platforms. This segmentation allows each function to be independently optimized and processed efficiently.

Inventive Principle:

Principle #1Segmentation

3Reliability

If video content is validated and verified before publication, then safety and authenticity are improved, but processing time increases

Engineering Contradiction:

Improvecontent authenticityVSAvoidvalidation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system replaces manual validation mechanisms with automated electronic evaluation processes. Video content is automatically analyzed using algorithms that assess authenticity, safety, and relevance, replacing time-consuming human review while maintaining or improving validation speed and consistency.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If multiple publication channels are used for video distribution, then content visibility is improved, but resource consumption increases

Engineering Contradiction:

Improvecontent distribution efficiencyVSAvoidsystem resource consumption

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system applies partial action by selectively distributing video content to only those publication channels that are relevant to the content's tags and metadata. Rather than pushing to all available channels, it intelligently selects a subset, reducing resource consumption while maintaining effective distribution to the most appropriate platforms.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentEP3534614A1Video distribution process and means for real-time publishing video streams

Publication Date: 2019.09.04 LIVETUBE LTD

Figure 1

AI summary

A video distribution process performed by means of a video distribution platform (1) is disclosed which comprises at least the following steps: - Receiving a video distribution request (2) from a mobile device (3) including at least a currently produced video content stream (4) and at least one meta information (5); - Temporarily storing produced video content stream (4); - Evaluating the video distribution request (2) by analysing at least the video content stream (4) or the meta information (5) to prepare an acceptance decision (6) to accept or decline the video distribution request (2); - Setting the acceptance decision (6).