Visual Scene Element Filtering with Context and User Intent

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Solution Overview

Problem

Existing electronic devices lack effective methods to identify and filter elements of interest within a visual scene based on user intent, geographic location, and context, limiting the relevance and efficiency of information provided to users.

Innovation Solution

Implementing a method on electronic devices to receive a visual scene, identify elements using computer vision and machine learning, determine context, and apply filters based on user input, geographic location, and context to visually indicate relevant elements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If multiple filters are applied to identify elements of interest in a visual scene, then the relevance of information provided to users is improved, but the device complexity increases

Engineering Contradiction:

Improverelevance of informationVSAvoiddevice complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the visual scene analysis into multiple independent filter modules, each targeting specific elements (text, objects, categories). This allows selective application of filters based on user needs, improving information relevance while managing complexity through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The electronic device is designed to perform multiple functions: capturing visual scenes, identifying elements using computer vision, determining context, and applying various filters. This multi-functional approach consolidates complexity into a single device while delivering comprehensive relevant information.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If context determination and filtering based on user intent and geographic location are implemented, then the precision of element identification is improved, but the loss of time increases

Engineering Contradiction:

Improveprecision of element identificationVSAvoidtime for processing

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-determining the context of the visual scene and pre-identifying available filters based on user profile and geographic location before the user actually requests filtering. This preparation reduces the time required at the moment of use while maintaining high precision.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from user interactions, geographic location data, and context analysis to continuously refine filter application. This feedback mechanism improves identification precision over time while optimizing processing efficiency based on learned user preferences and patterns.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12387247B2Finding and filtering elements of a visual scene

Publication Date: 2025.08.12 GOOGLE LLC

AI summary

In a general aspect, a method can include receiving, by an electronic device, a visual scene; identifying, by the electronic device, a plurality of elements of the visual scene; and determining, based on the plurality of elements identified in the visual scene, a context of the visual scene. The method can further include applying, based on the determined context of the visual scene, at least one filter to identify at least one element of the plurality of elements corresponding with the at least one filter; and visually indicate, in the visual scene on a display of the electronic device, the at least one element identified using the at least one filter.