Dynamic Product Prompt Synchronization in Live Media Streams

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Solution Overview

Problem

Current media-based product selling solutions are cumbersome, time-consuming, and error-prone due to the need for manual setup and static metadata entry, failing to accommodate dynamic situations and real-time product changes during live-streams or VOD content.

Innovation Solution

An automated system that dynamically identifies products and retrieves up-to-date metadata to generate synchronized product-related prompts within media content, allowing consumers to interact with products seamlessly during consumption, using a metadata fetching paradigm and AI-driven processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual metadata entry and product association is used, then setup control is maintained by content creators, but the process is time-consuming and error-prone

Engineering Contradiction:

Improveease of product metadata setupVSAvoidtime required for manual setup

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system automatically identifies products in media content and retrieves metadata without requiring manual input from content creators. The automated product identification system analyzes media streams and autonomously associates product information, eliminating the need for manual metadata entry while maintaining accuracy through AI-driven detection algorithms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes of product identification and metadata association are replaced with automated AI-based systems. The patent employs machine learning models and computer vision techniques to automatically detect products, extract metadata, and synchronize prompts, substituting manual operations with intelligent automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If static metadata is used for product promotion, then setup simplicity is maintained, but the system cannot accommodate dynamic product changes during live-streams

Engineering Contradiction:

Improveability to accommodate dynamic product changesVSAvoidcomplexity of dynamic metadata management

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transitions from static metadata to dynamic, real-time product information. The automated identification system continuously monitors media streams and updates product metadata as content changes during live-streams, enabling the system to adapt to dynamic product showcases without requiring pre-configured static information.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements real-time feedback loops where product detection results are continuously fed back into the metadata retrieval and prompt generation processes. This feedback mechanism ensures that product information is automatically updated based on what is actually shown in the media content, enabling dynamic adaptation to product changes.

Inventive Principle:

Principle #23Feedback

3Reliability

If manual association of product metadata with media content is performed, then accuracy can be controlled by content creators, but the process is error-prone and time-consuming

Engineering Contradiction:

Improveaccuracy of product-media associationVSAvoidspeed of product promotion setup

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

Manual association processes are replaced with automated AI-based product detection and metadata retrieval systems. The patent uses machine learning models to accurately identify products in media content and automatically retrieve corresponding metadata, eliminating manual association while maintaining high accuracy through intelligent detection algorithms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates automated copies of product information by retrieving metadata from databases and replicating it with the media content. This copying process is performed automatically and accurately, eliminating manual copying errors while maintaining data integrity through systematic automated retrieval and association.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250022014A1Automated and Dynamic Provisioning of Synchronized Product-Related Prompts Within Media Content

Publication Date: 2025.01.16 DISNEY ENTERPRISES INC

AI summary

A system includes a processor, an input unit; and a memory storing software code. The processor executes the software code to receive an activation input from a user, and generate, using the input unit, media content including a performance by the user or a performer. The processor further executes the software code to identify, while generating the media content, a product referenced by the user or performer, dynamically obtain up-to-date marketing data for the product, generate metadata for use in providing one or more product-related prompts synchronized with one or references to the product made by one of the user or the performer during the performance, and output the media content accompanied by the metadata. The one or more product-related prompts enable a consumer of the media content to trigger an interaction associated with the product while consuming the media content.