Visual Feature-Based Digital Content Navigation System
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Solution Overview
Problem
Conventional systems for navigating and searching digital content, such as images and videos, are inefficient and frustrating due to the need for manual scrolling and reliance on specific metadata, limiting the ability to find content based on visual features like faces or objects.
Innovation Solution
A digital content system that allows users to select visual features through a graphical user interface, enabling the identification and retrieval of digital content items within a collection that share those features, using facial recognition and object detection to filter and present relevant items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search functions are used that require specific search terms, then users can locate digital content items with known metadata, but users cannot efficiently find content based on visual features and must manually scroll through collections
Solution Approach 1:
The patent replaces manual scrolling (mechanical navigation) with automated visual feature-based search. The system uses image recognition technology to automatically identify and retrieve digital content items containing selected visual features, eliminating the need for users to manually scroll through collections and significantly reducing search time.
Solution Approach 2:
The patent introduces visual feature selection as an intermediary between the user and the digital content collection. Instead of directly searching through metadata or scrolling manually, users select visual features (such as objects, colors, or patterns) that serve as mediators to automatically filter and retrieve relevant content items.
2Reliability
If users manually scroll through digital content collections, then all content items can be viewed, but the process becomes time-consuming and frustrating for large collections
Solution Approach 1:
The patent performs preliminary indexing of visual features across the entire digital content collection before the user needs to search. The system pre-processes and stores visual feature information for each content item, enabling rapid retrieval when users select search criteria, thus eliminating the need for real-time manual scrolling.
3Adaptability or versatility
If conventional systems rely on metadata for searching, then structured information can be queried, but visual characteristics of digital content cannot be effectively utilized
Solution Approach 1:
The patent segments the digital content analysis into multiple independent visual feature dimensions (such as color, texture, shape, objects). Each visual characteristic can be independently detected, selected, and used for searching, allowing users to adapt their search strategy based on different visual attributes without being constrained by a single metadata structure.
Data Source
AI summary
One or more embodiments of a digital content system allow a user to conveniently search and/or navigate through a collection of digital content items. In particular, a user can interact with a client device to search for and identify one or more digital content items within a collection of digital content items. For example, the digital content system may provide a photo from a collection of photos via a graphical user interface. The digital content system can receive a user input identifying a selection of one or more visual features within the photo. Based on the selected visual feature(s), the digital content system may identify photos from the collection of photos that include the identified visual feature(s) and provide access to the identified photos via the graphical user interface.