2D Video Content Insertion Using Camera Pose and Scene Reconstruction

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Solution Overview

Problem

Current solutions for inserting supplemental content into streamed two-dimensional video content are costly and time inefficient, requiring complex content level integration and specialized hardware.

Innovation Solution

A system that uses intrinsic and extrinsic camera parameters to efficiently insert supplemental content into two-dimensional video content during streaming, utilizing machine learning algorithms to identify suitable presentation locations and transform content based on camera positions within a three-dimensional space.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If complex content level integration and specialized cameras are used to insert supplemental content into video content, then the quality and precision of content insertion is improved, but the device complexity and cost increase

Engineering Contradiction:

Improvecontent insertion precisionVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses computer vision algorithms to analyze the video content and create a digital representation of the scene, including surface detection and three-dimensional space reconstruction. This digital copy allows supplemental content to be accurately placed and transformed without requiring specialized hardware cameras or complex integration systems, thereby maintaining insertion precision while reducing device complexity

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces mechanical/specialized hardware solutions (specialized cameras, content level integration systems) with software-based computer vision and machine learning algorithms. The system uses image processing to detect surfaces, estimate three-dimensional geometry, and transform supplemental content accordingly, substituting physical complexity with computational processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If complex content level integration is used to insert supplemental content into video content, then the accuracy of content placement is improved, but the processing time and efficiency deteriorate

Engineering Contradiction:

Improvecontent placement accuracyVSAvoidprocessing efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent performs preliminary actions by pre-processing the video content to detect surfaces, reconstruct three-dimensional space, and identify placement locations before actual supplemental content insertion. The system pre-computes transformation parameters and stores them for rapid content placement, thereby maintaining accuracy while improving processing efficiency during actual streaming

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements a dynamic system that adapts its processing based on the complexity of the scene. The computer vision algorithms continuously analyze video content and adjust surface detection sensitivity, three-dimensional reconstruction detail, and content transformation parameters in real-time, optimizing the balance between placement accuracy and processing speed according to scene characteristics

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If third-party plugins and specialized cameras are used for supplemental content insertion, then the functionality and versatility of content integration is improved, but the device complexity and cost increase

Engineering Contradiction:

Improvecontent integration capabilityVSAvoidhardware requirements

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal system that can handle multiple types of supplemental content (text, images, videos, three-dimensional objects) and insert them into various video content types (live streaming, pre-recorded, computer-generated, real-world) using a single integrated platform. The computer vision algorithms and content transformation engine provide multi-functional capability without requiring specialized hardware or multiple third-party plugins, thereby improving versatility while reducing device complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12549785B2Systems and methods to insert supplemental content into presentations of two-dimensional video content based on intrinsic and extrinsic parameters of a camera

Publication Date: 2026.02.10 4D SIGHT INC

AI summary

Systems and methods for inserting supplemental content into presentations of two-dimensional video content based on the intrinsic and extrinsic parameters of a camera are disclosed. Exemplary implementations may: obtain two-dimensional video content depicting a three-dimensional space; obtain supplemental content; obtain values of intrinsic parameters for the camera; obtain values of extrinsic parameters for the camera; identify presentation locations in the three-dimensional space based on the two-dimensional video content; determine integration information for the supplemental content based on the values of intrinsic and extrinsic parameters; modify the two-dimensional video content to include the supplemental content at the identified presentation location in accordance with the integration information; and/or perform other operations.