Livestream Object Replacement for Real-Time Personalized Product Switching

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Solution Overview

Problem

Current live shopping platforms lack the ability to seamlessly switch between products in real-time, considering user preferences and often result in manual editing with noticeable gaps, failing to provide a personalized experience.

Innovation Solution

A system that computes a scene description of a livestream, identifies a target object to be selected, and replaces it with a personalized secondary object, the system selects a personalized secondary object, the system seamlessly renders the livestream with personalized secondary objects, and replaces the system with a personalized secondary object, the system, which computes a scene description, identifies a target object, and replaces it with a personalized secondary object based on user preferences, using 2D to 3D conversion and back to 2D conversion, ensuring a seamless transition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual video editing is used to switch between products, then product switching capability is achieved, but the process is cumbersome and produces noticeable gaps in image continuity

Engineering Contradiction:

Improveproduct switching capabilityVSAvoidmanual editing process

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces manual mechanical video editing operations with an automated computer vision system that uses object detection algorithms to identify products and perform seamless transitions. The system automatically detects product boundaries, tracks them across frames, and executes replacements without manual intervention, eliminating the cumbersome editing process while maintaining product switching capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service product switching by allowing the video content to automatically identify and replace products based on predefined criteria. The computer vision system autonomously performs object detection, tracking, and replacement operations without requiring human operators to manually edit each transition, making the process autonomous and efficient.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If recorded video with manual editing is used, then product switching is possible, but the switch is not live or in real time

Engineering Contradiction:

Improveproduct switchingVSAvoidreal-time processing

Core Design Contradiction:

Adaptability or versatilityVSSpeed

Solution Approach 1:

The system performs preliminary actions by pre-processing video frames to detect and track products as they appear in the livestream. The computer vision system continuously analyzes incoming video data in real-time, maintaining object tracking states and preparing replacement operations before actual product transitions occur, enabling seamless real-time switching without post-processing delays.

Inventive Principle:

Principle #10Preliminary action

3Ease of manufacture

If the same product switch is shown to all viewers, then implementation is simple, but user preferences are not considered

Engineering Contradiction:

Improveimplementation simplicityVSAvoidpersonalization capability

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent implements local quality by customizing product replacements for individual users based on their preferences and historical data. The system analyzes each user's profile, purchase history, and stated preferences to select appropriate replacement products, ensuring that each viewer receives a personalized experience tailored to their specific interests rather than a generic one-size-fits-all approach.

Inventive Principle:

Principle #3Local quality

4Adaptability or versatility

If manual video editing is used for product switching, then basic functionality is achieved, but several glitches in image continuity are introduced

Engineering Contradiction:

Improveproduct switching functionalityVSAvoidimage continuity

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent replaces manual mechanical editing operations with an automated computer vision system that uses algorithms to detect object boundaries, track products across frames, and execute seamless replacements. This automated approach eliminates the precision errors and continuity glitches inherent in manual editing by using consistent, algorithm-driven object detection and transition execution that maintains image coherence throughout the livestream.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250392768A1Systems and methods for switching between alternate scene objects during livestreaming

Publication Date: 2025.12.25 ADEIA GUIDES INC

AI summary

Systems and methods are described for replacing an object being presented in a livestream with a secondary object that is personalized to a user that is consuming the livestream and rendering the livestream with the secondary object are described. The methods identify a target object in a livestream based on certain selection factors. A secondary object that is contextually related to the target object and selected based on selection factors is selected. A 2D-to-3D conversion of the scene description is performed to generate a 3D model. A replacement option is selected. The attributes of the secondary object based on its 3D model are matched with attributes of the target object based on its generated 3D model. Quality checks and scalability options are explored. The livestream is re-rendered with the secondary object having replaced the target object.