Video Stream Augmentation for Privacy Protection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing video stream processing systems require elaborate user settings and resource-intensive image recognition procedures to identify and obscure private or intellectual property elements in Point-of-View (POV) video recording systems, making them cumbersome and resource-heavy.

Innovation Solution

A computer-implemented method and system that modify video streams by defining a spatial scope within each image frame using markers, modulated light, or depth information to obfuscate or delete portions outside this scope, reducing the need for extensive user pre-settings and resource-intensive recognition processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If image recognition procedures are used to identify and obscure private or intellectual property elements, then privacy protection is improved, but device complexity and resource consumption increase

Engineering Contradiction:
Improveprivacy protectionVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides the video stream into individual frames and processes each frame independently, segmenting the complex task of privacy protection into manageable units. This allows the system to apply privacy controls to specific regions (faces, objects) without processing the entire video stream, reducing overall computational complexity while maintaining effective privacy protection.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different processing quality levels to different regions of the video stream. Instead of uniformly processing the entire frame, the system identifies specific regions containing private or intellectual property information and applies obfuscation only to those local areas, reducing resource consumption while maintaining privacy protection where needed.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If elaborate user settings are required to define privacy constraints, then privacy control precision is improved, but ease of operation deteriorates

Engineering Contradiction:
Improveprivacy control precisionVSAvoiduser friendliness
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent implements automatic detection of private and intellectual property elements within the video stream, allowing the system to self-configure privacy constraints without requiring elaborate user settings. The system automatically identifies faces, objects, and regions of interest, applying privacy controls based on pre-defined policies rather than requiring manual configuration by the user.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent uses configurable parameters such as detection sensitivity thresholds, obfuscation strength levels, and spatial scope definitions that can be adjusted without requiring users to define complex privacy constraints. These parameter changes allow the system to adapt to different privacy requirements while maintaining ease of operation through simplified interfaces.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If resource-intensive image recognition procedures are used, then identification accuracy is improved, but productivity deteriorates

Engineering Contradiction:
Improveidentification accuracyVSAvoidprocessing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the video stream into discrete frames and processes only the portions of frames that contain potential private or intellectual property information. This selective processing approach maintains identification accuracy for relevant content while significantly improving overall processing speed by skipping unnecessary analysis of empty or irrelevant frames.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies partial processing by focusing computational resources only on specific regions and frames where privacy issues are detected, rather than processing the entire video stream uniformly. This partial action approach maintains sufficient identification accuracy for privacy-protected content while improving productivity by reducing overall processing workload.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11189319B2Computer-implemented method and system of augmenting a video stream of an environment
Publication Date: 2021.11.30 TEAMVIEWER GMBH
  • US11189319B2 patent drawing
  • US11189319B2 patent drawing
  • US11189319B2 patent drawing

AI summary

In a computer-implemented method and system of augmenting a video stream of an environment, a processing device receives a first video stream including a plurality of image frames provided from at least one camera, processes the plurality of image frames of the first video stream to define a spatial scope of image data within a respective one of the image frames, modifies the plurality of image frames with frame-based modification information configured to obfuscate or delete or restrict at least one portion of a respective one of the image frames which is outside of the spatial scope of image data within the respective one of the image frames, and outputs a second video stream based on the modified plurality of image frames with the frame-based modification information for transmission to a receiving device, such as a display device.