Augmented Context Content Discovery via Image Analysis
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Solution Overview
Problem
Users face difficulties in efficiently finding specific content on television and video distribution platforms due to the overwhelming number of options, leading to a need for improved content discovery methods.
Innovation Solution
A system and method that utilize image capture and analysis to identify visual characteristics of objects in TV content, allowing for augmented context-based content discovery, where user-selectable interface elements are generated to facilitate actions such as recording programs or purchasing products, and user interests are inferred to customize the electronic programming guide.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for content on television platforms, then they can find specific programs, but the time and effort required increases significantly due to the overwhelming number of options
Solution Approach 1:
The patent introduces an intermediary system consisting of image capture device, computing device, and television receiver that automatically performs content discovery. The image capture device captures visual content from the television display, the computing device analyzes the captured images to identify objects and characteristics, and the television receiver presents relevant content information to the user, eliminating the need for manual searching through overwhelming options
Solution Approach 2:
The patent replaces the mechanical manual searching process with an automated optical and computational system. Instead of users manually navigating through content options, the system uses image capture devices to visually detect content on display, computational algorithms to analyze and identify objects and characteristics, and automated presentation of relevant content information, substituting human effort with machine-based content discovery
2Loss of information
If the system presents all available content options to users, then users have complete information, but the interface becomes overwhelming and difficult to navigate
Solution Approach 1:
The patent extracts only the relevant content information from the complete set of available options. The computing device analyzes captured images to identify specific objects and characteristics, then the system presents only the extracted relevant information about matching content to the user through the television receiver, filtering out unnecessary options while maintaining information completeness for the identified content
Solution Approach 2:
The patent applies different presentation qualities to different content based on relevance. The system identifies specific objects and characteristics in the captured images, then presents customized content information tailored to each identified element, providing detailed information about relevant content while maintaining overall interface simplicity through targeted, localized information presentation
3Ease of manufacture
If the system provides generic content recommendations, then implementation is simple, but the service lacks personalization and user satisfaction decreases
Solution Approach 1:
The patent implements a feedback mechanism where the system captures images of content being displayed on the television, analyzes the visual characteristics and objects in the captured images, and uses this feedback information to identify user interests and preferences. The system then uses this feedback to personalize content recommendations by presenting interface elements that reflect the user's demonstrated interests, enabling adaptive personalization based on actual viewing behavior
Solution Approach 2:
The patent enables the system to automatically perform content discovery and personalization without requiring explicit user input. The image capture device automatically captures content, the computing device automatically analyzes images to identify objects and characteristics, and the system automatically generates personalized content recommendations based on identified user interests, allowing the system to serve itself in creating personalized recommendations
Data Source
AI summary
Method, systems, and computer-readable media are provided to facilitate content discovery based on augmented context. A first set of images of a graphical display may be acquired and analyzed to identify visual characteristics of an object represented. Attributes of the object may be identified. Specifications may be transmitted to the television receiver and/or a remote data source in order to pull matching information. A user-selectable interface element may be generated for presentation as an option to take an action relating to the object represented. A visual output of the interface element may be output as an overlay on the first set and/or a second set of images displayed by the computing device. A user selection responsive to the outputting of the visual output of the at interface element may be processed. A communication may be transmitted to the television receiver to cause the action responsive to the user selection.