Automated Content Marking via Computing Environment Event Detection
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Solution Overview
Problem
Existing video systems fail to automatically associate video data recorded from a computing environment with meaningful information about changes in that environment, such as application events or changes in the computing environment, limiting their ability to identify and playback specific events or actions.
Innovation Solution
A method and apparatus that detect changes in a computing environment by monitoring events like program execution, changes in application behavior, or file operations, and mark recorded display information accordingly, allowing for the storage of human-readable descriptions of these changes to facilitate subsequent operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pixel-based scene change detection is used to automatically segment video into scenes, then the time-consuming manual logging process is reduced, but the system cannot understand the semantics of changes in the computing environment (e.g., application events, file operations)
Solution Approach 1:
The patent introduces an intermediary layer between pixel-based visual analysis and semantic understanding. This intermediary captures computing environment events (program execution, file operations, window changes) and translates them into semantic tags that describe what happened, bridging the gap between raw pixel data and meaningful information about computing environment changes
Solution Approach 2:
The system combines multiple detection functions into a unified approach: it monitors both visual changes (pixel-based scene detection) and computing environment events (application-level changes), then integrates both into a comprehensive tagging system that provides both scene segmentation and semantic understanding of what occurred
2Measurement precision
If manual logging of scene changes is performed by operators viewing tape and making notations, then accurate description of scene contents is achieved, but the process is time-consuming and cumbersome
Solution Approach 1:
The system performs self-service by automatically detecting scene changes and computing environment events without human intervention. It monitors the computing environment itself, captures events like program execution and file operations, and generates descriptive tags autonomously, eliminating the need for manual logging while maintaining accurate descriptions
Solution Approach 2:
The patent replaces the mechanical manual logging process with an automated electronic system that uses event capture, data processing, and algorithmic tag generation. Instead of operators manually viewing and notating, the system electronically monitors, detects, and describes changes through computational processes
3Difficulty of detecting and measuring
If known systems segment video into chapters based on significant pixel differences, then visual scene changes are identified, but events and changes occurring in the computing environment cannot be automatically identified
Solution Approach 1:
The patent adds another dimension to scene detection by monitoring not only visual pixel changes but also computing environment events. This multi-dimensional approach captures both the visual aspect (pixel differences) and the semantic aspect (application events, file operations, window changes), enabling the system to detect and describe a broader range of occurrences
Data Source
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AI summary
Methods and apparatus for automatic content marking. In one embodiment, display information is recorded, a change in the computing environment is detected, and the recorded display information is marked in response to the detected change. A human-readable description of the change associated with the mark may also be stored. A change in the computing environment may be detected by detecting an event that reflects a change in the computing environment.