OS Visual Search Interface for On-Device App Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in obtaining relevant information from visual data due to challenges in constructing effective search queries, especially when the data is niche or not readily selectable, leading to irrelevant search results and increased computational and privacy concerns with traditional visual search techniques.
Innovation Solution
A visual search interface at the operating system level that utilizes on-device machine-learned models for object detection, optical character recognition, and segmentation, reducing the need for server-based processing and providing application suggestions based on visual search data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional text-based search methods are used, then users can perform searches with simple queries, but the search results become irrelevant and insufficient for visual content
Solution Approach 1:
The patent replaces traditional text-based search mechanisms with visual search mechanisms. Instead of requiring users to type text queries, the system captures screenshots and uses image recognition algorithms to automatically identify and search for visual content. This substitution transforms the search interface from mechanical text input to visual pattern recognition, significantly improving search accuracy for visual content while maintaining ease of operation.
Solution Approach 2:
The patent introduces an intermediary layer between the user and the search engine. The screenshot capture function and image recognition system act as intermediaries that automatically convert visual content into searchable data. This intermediary process bridges the gap between visual content and text-based search engines, enabling accurate search results without requiring users to manually describe visual elements.
2Measurement precision
If screenshots are captured and used as query images, then visual search can be performed, but the process requires multiple user inputs and may still fail to provide desired results
Solution Approach 1:
The patent implements self-service functionality where the system automatically performs screenshot capture and processing without requiring explicit user commands. The visual search interface monitors the display buffer and can automatically capture screenshots when visual search is initiated, eliminating the need for users to manually trigger screenshot functions. This self-service approach reduces operational complexity while maintaining high visual search accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-processing display content and maintaining a buffer of visual data before search is initiated. The system prepares screenshot data and image recognition models in advance, so when visual search is requested, the processing can proceed immediately without requiring users to manually capture and prepare images. This preliminary preparation reduces the complexity of the search initiation process.
3Adaptability or versatility
If visual search data is processed to determine associated applications, then relevant application suggestions can be provided, but additional processing time and computational resources are required
Solution Approach 1:
The patent performs preliminary indexing and categorization of applications based on their functionality and associated visual content types. Before visual search is executed, the system pre-organizes application data so that when search results are generated, the matching with relevant applications can occur rapidly. This preliminary organization of application data reduces the processing time required to provide accurate application recommendations.
Solution Approach 2:
The patent applies local quality optimization by focusing computational resources on processing only the most relevant visual features and application attributes. Instead of analyzing all possible characteristics uniformly, the system identifies and prioritizes key features specific to the search context, reducing overall processing time while maintaining high accuracy in application recommendations.
Data Source
AI summary
Visual search in an operating system of a computing device can process and provide additional information on the content being provided for display. The computing device can include an operating system that includes a visual search interface that obtains and processes display data associated with content currently being provided for display. The visual search interface can generate display data based on the current content provided for display, process the display data with one or more on-device machine-learned models, and provide additional information to the user. The visual search interface may transmit data associated with the display data to perform additional data processing tasks. Application suggestions may be determined and provided based on the visual search data.