On-Screen Text Detection and Alert Generation in Video Streams
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Solution Overview
Problem
Existing video content systems lack the ability to effectively detect and utilize on-screen text and objects within video data for generating alerts and supplemental information, limiting user interaction and experience.
Innovation Solution
A system that analyzes video data to detect on-screen text and objects using optical character recognition (OCR) and metadata, allowing for real-time monitoring and generation of alerts and supplemental information based on user-defined regions and key items, with the ability to perform actions such as volume adjustments and superimposing text over other video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video data is analyzed to detect on-screen text and objects using OCR and metadata, then user interaction and experience are enhanced, but system complexity increases
Solution Approach 1:
The system segments video data analysis into distinct functional modules: OCR processing for text detection, object detection algorithms for identifying visual elements, metadata extraction, and alert generation components. Each module handles specific aspects of analysis independently, making the overall complex system manageable and maintainable while enabling enhanced user interaction through multiple detection capabilities.
Solution Approach 2:
The patent introduces intermediary components such as the alert engine that mediates between the complex detection processes and the user interface. This intermediary layer processes detector output data, manages alert generation, and coordinates between various detection modules, thereby hiding system complexity from users while delivering enhanced interaction capabilities.
2Speed
If real-time monitoring of video data is implemented to generate alerts, then responsiveness to content is improved, but processing time and computational resources increase
Solution Approach 1:
The system implements partial monitoring by allowing users to specify particular regions of interest within video frames and select specific types of content (text, objects, or both) to monitor. This selective approach reduces the overall computational burden compared to analyzing every pixel and element in the entire video stream, enabling real-time alert generation with reduced resource consumption.
Solution Approach 2:
The patent employs preliminary processing techniques including pre-defined regions of interest, pre-configured detection parameters, and cached metadata information that reduce the computational load during real-time monitoring. By preparing detection criteria and parameters in advance, the system achieves faster real-time response with lower processing requirements.
3Measurement precision
If multiple detection algorithms are used to identify on-screen text and objects, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent merges multiple detection algorithms (OCR for text, object detection for visual elements) into a unified processing framework that shares common infrastructure such as image preprocessing, feature extraction, and result integration modules. This merging approach maintains high detection accuracy through multiple specialized algorithms while reducing overall processing complexity by eliminating redundant operations and sharing computational resources across different detection tasks.
Data Source
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AI summary
Systems and methods for generating alerts and enhanced viewing experience features using on-screen data are disclosed. Textual data corresponding to on-screen text is determined from the visual content of video data. The textual data is associated with corresponding regions and frames of the video data in which the corresponding on-screen text was detected. Users can select regions in the frames of the visual content to monitor for a particular triggering item (e.g., a triggering word, name, or phrase). During play back of the video data, the textual data associated with the selected regions in the frames can be monitored for the triggering item. When the triggering item is detected in the textual data, an alert can be generated. Alternatively, the textual data for the selected region can be extracted to compile supplemental information that can be rendered over the playback of the video data or over other video data.