Semantic Video Analytics Configuration via Natural Language
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Solution Overview
Problem
Setting up and configuring Video Content Analysis (VCA) systems is complex and typically requires a certified system administrator, as users lack the necessary technical knowledge and familiarity with both the VCA system and the monitored environment.
Innovation Solution
A semantic video analytics system that allows users to set up and configure VCA systems using intuitive language, where users describe monitored scenes and create rules using predefined terms, which are then converted into video characterization parameters for analysis, enabling automatic object characterization and alert generation in understandable language.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a VCA system is set up and configured using traditional methods, then the system achieves accurate video analysis functionality, but the setup process becomes complex and requires certified system administrators with deep technical knowledge
Solution Approach 1:
The patent introduces an intermediary layer between the user and the complex VCA system configuration. This intermediary consists of pre-defined templates, scene descriptions, and rule structures that translate simple user inputs into comprehensive system configurations. The intermediary handles the complexity of parameter mapping, algorithm selection, and system integration, allowing users to configure the system without needing deep technical knowledge while maintaining full functionality.
Solution Approach 2:
The system performs preliminary actions by pre-configuring analysis templates, scene models, and rule structures before the user needs them. Common video analysis scenarios are pre-packaged with appropriate parameters, algorithms, and configurations. When a user selects a pre-configured template, the system has already performed the complex work of setting up the analysis pipeline, selecting appropriate algorithms, and configuring parameters, thus eliminating the need for users to perform these complex setup tasks manually.
2Manufacturing precision
If a VCA system requires certified system administrators for setup, then the system maintains high configuration accuracy, but the accessibility and usability for end-users decreases
Solution Approach 1:
The system enables end-users to independently configure and customize video analysis settings without requiring certified administrators. Users can directly access configuration interfaces, select from pre-defined templates, modify analysis parameters, and adjust rules based on their specific needs. The system provides user-friendly guidance and validation to ensure configuration accuracy while empowering users to perform tasks previously restricted to certified personnel.
Solution Approach 2:
The patent creates a universal configuration framework that serves multiple user types and scenarios through a single interface. The same configuration system accommodates both simple use cases (selecting pre-defined templates) and complex requirements (custom parameter adjustment, scenario-specific rules). This multi-functional approach allows the system to maintain high configuration accuracy for expert users while providing accessible defaults for non-technical users, eliminating the need for separate configuration paths for different user skill levels.
3Measurement precision
If the VCA system uses technical configuration parameters and algorithms, then the analysis precision is improved, but the user understanding and interpretation of results becomes difficult
Solution Approach 1:
The system applies different levels of detail and abstraction to different parts of the configuration and results display. Technical parameters, algorithms, and processing details are maintained in the background with high precision, while the user interface presents simplified, context-relevant information. Users see only the parameters and results relevant to their specific scenario, with technical complexity hidden where not needed. This local differentiation allows high analysis precision to be maintained while preventing information overload and comprehension difficulties for users.
Solution Approach 2:
The system creates simplified representations or copies of complex analysis results that are easier for users to understand and interpret. Instead of presenting raw algorithm outputs and technical parameter values directly to users, the system generates user-friendly visualizations, summary reports, and contextualized explanations that convey the essential meaning of analysis results. These simplified copies maintain fidelity to the underlying precise analysis while being accessible to non-technical users.
Data Source
AI summary
Embodiments of the invention may include generating a description of a monitored scene and creating a plurality of rules related to the monitored scene by using common language. The description of the monitored scene and the plurality of rules may be converted into system parameters and an analysis of the video data may be performed based on the system parameters. The results of the analysis may be converted into one or more output terms from the plurality of predefined terms and may be displayed to a user in a common language.