Display Device Text Extraction for Content Querying
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Solution Overview
Problem
Users of television or display devices are limited in selecting and querying content, as existing systems lack efficient methods for accessing and utilizing video signals to retrieve relevant information associated with the content being played.
Innovation Solution
A content processing system and method that includes a content controller within the display device, which accesses recent images and text from video signals, allows user selection of text portions, and queries an information source to provide additional information, using modules for image and text processing, facial recognition, and speech recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users select different content by use of a remote control, then content selection capability is provided, but the system lacks efficient methods for accessing and utilizing video signals to retrieve relevant information
Solution Approach 1:
The display device is enhanced to perform multiple functions: it not only displays video content but also extracts text from video frames, provides predictive text suggestions, and queries information sources. This multi-functionality allows a single device to handle both content selection and information retrieval without requiring separate specialized devices.
Solution Approach 2:
The patent introduces an intermediary text extraction and processing system that bridges the gap between video signal reception and information querying. This intermediary layer extracts text from video frames, processes it through predictive text algorithms, and uses it to query information sources, thereby enabling efficient information retrieval without direct user intervention.
2Loss of information
If the system accesses recent images and text from video signals, then information retrieval capability is improved, but processing time and system resources increase
Solution Approach 1:
The system performs preliminary text extraction from video frames and stores it for future use. By extracting and caching text information in advance during video playback, the system avoids the need to perform time-consuming text extraction and analysis when a user requests information, thereby reducing latency and improving response time.
Solution Approach 2:
Instead of processing entire video signals or all extracted text, the system selectively processes only relevant portions. It uses predictive text algorithms to generate suggestions from partial text inputs and queries information sources with targeted keywords, thereby achieving effective information retrieval without the computational overhead of processing complete video content.
3Ease of operation
If the system provides predictive text entry and queries information sources, then user experience is enhanced, but device complexity and computational requirements increase
Solution Approach 1:
The system provides predictive text entry that automatically suggests completions based on extracted text from video content. This self-service capability allows the system to anticipate user needs and provide relevant information without requiring extensive manual input or complex user interactions, thereby enhancing ease of operation while managing computational requirements through intelligent automation.
Data Source
AI summary
Methods and systems for information querying are described. At least one recent image of a video signal may be accessed. Recent text associated with the at least one recent image may be accessed. A presentation image may be provided from the at least one recent image for presentation on a display. An original portion of the recent text may be identified within the presentation image. A selection of a user portion of the recent text may be received. An information source may be queried with the selection of the user portion of the recent text. The information source may be capable of using the selection to provide a result.