Gesture-Based Content Selection for Precise Search and Sharing
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Solution Overview
Problem
Users face difficulties in efficiently obtaining and processing relevant information from visual data due to challenges in constructing effective search queries and navigating through multiple applications for actions like searching, saving, or sharing content, which often requires tedious inputs and non-intuitive processes.
Innovation Solution
A computing system that processes gesture inputs to generate a gesture mask based on display data and recognizes gestures to determine a specific action, such as searching, saving, or sharing, by associating gestures with predefined or user-defined actions, thereby simplifying the interaction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users use text searching to find information, then they can query for content, but they struggle to determine which words to use and the words may not be descriptive enough to generate desired results
Solution Approach 1:
The patent introduces an intermediary system that captures visual information from displayed content and automatically generates search queries. The system acts as a mediator between the user and the search function, extracting meaningful descriptors from visual data and transforming them into effective search queries without requiring users to manually construct complex queries.
Solution Approach 2:
The patent replaces the mechanical process of manual text query construction with an automated visual processing system. Instead of requiring users to manually select and type descriptive words, the system uses computer vision and machine learning to automatically analyze visual content and generate appropriate search queries, substituting manual mechanical input with automated intelligent processing.
2Productivity
If users capture screenshots and use them as query images, then they can search for additional information, but the search may lead to irrelevant search results associated with items not of interest to the user
Solution Approach 1:
The patent applies local quality analysis by focusing the search on specific regions and features within the displayed content rather than treating the entire screenshot uniformly. The system identifies and prioritizes locally relevant visual elements and their associated metadata, ensuring that search results are tailored to the specific content of interest rather than returning generic results based on the entire image.
Solution Approach 2:
The patent changes the parameters used for search query generation by analyzing multiple attributes of the visual content simultaneously, including object identification, scene context, and associated metadata. This multi-parameter approach allows the system to generate more precise search queries that capture the essence of the content rather than relying on simple image hashing or basic visual matching.
3Adaptability or versatility
If users navigate through multiple applications for actions like searching, saving, or sharing content, then they can perform these actions, but it requires tedious inputs and non-intuitive processes
Solution Approach 1:
The patent implements a universal interface that consolidates multiple data processing functions (searching, saving, sharing) into a single integrated system. The overlay interface provides unified access to all these functions through consistent gestures and interactions, eliminating the need for users to navigate between separate applications and providing a multi-functional solution that simplifies the overall interaction process.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring the overlay interface and pre-processing visual content before the user needs to perform actions. The system anticipates user needs by analyzing the displayed content and preparing appropriate search queries, saving options, and sharing formats in advance, so that when the user makes a selection, the actions can be executed immediately without requiring additional setup or navigation.
Data Source
AI summary
Systems and methods for content processing can include obtaining a gesture input and display data, determining content selected by the gesture input, classifying the gesture, and performing a particular data processing action based on the content selection and the gesture classification. The particular data processing action can vary based on gesture classification. The content selection determination can include determining a gesture mask and then determining the features of the displayed content item that are within the gesture mask.


