CAD-Integrated Video Tagging via Incident-Specific Dictionaries
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Solution Overview
Problem
Conventional video analytics systems face challenges in efficiently indexing and searching video surveillance data due to the complexity and size of dictionaries used, which hinders real-time integration with Computer Assisted Dispatch (CAD) incident reports, leading to time-consuming processing and reduced tagging accuracy.
Innovation Solution
The integration of CAD incident reports with video surveillance systems to create a small, focused, incident-specific dictionary for real-time video tagging and analytics, which continually updates as the incident unfolds, allowing for efficient video search and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional dictionaries are used for video analytics, then comprehensive object detection is possible, but processing becomes complex and time-consuming
Solution Approach 1:
The patent segments the conventional comprehensive dictionary into multiple specialized dictionaries organized in a hierarchical structure. Each dictionary focuses on specific object categories relevant to particular incident types, breaking down the large-scale processing task into smaller, more manageable segments that can be processed efficiently.
Solution Approach 2:
The patent extracts only the necessary subset of objects and features from the conventional comprehensive dictionary that are relevant to the specific incident context. By taking out only the essential elements needed for the current analysis task, the system reduces processing complexity while maintaining detection effectiveness for relevant objects.
2Reliability
If comprehensive video surveillance data is captured, then complete incident coverage is achieved, but indexing and searching becomes inefficient
Solution Approach 1:
The patent performs preliminary indexing of video data using the hierarchical incident-specific dictionaries before actual search operations. Video frames are pre-tagged with relevant object identifiers based on the incident context, so that when a search is initiated, the system can quickly retrieve and filter pre-indexed data rather than processing all video data from scratch.
Solution Approach 2:
The patent introduces hierarchical incident-specific dictionaries as an intermediary layer between the raw video data and the search/query system. These dictionaries act as a mediator that translates incident descriptions into structured object queries, enabling efficient searching by serving as an intermediate representation that bridges natural language incident reports and video content.
3Measurement precision
If real-time integration of CAD incident reports with video surveillance is implemented, then video tagging accuracy improves, but processing time increases
Solution Approach 1:
The patent implements a dynamic hierarchical dictionary structure that adapts to the specific incident context. The system dynamically constructs incident-specific dictionaries by combining general object categories with incident-type-specific categories, allowing the tagging system to focus computational resources on the most relevant objects for each incident, thereby improving accuracy without proportionally increasing processing time.
Data Source
AI summary
A video tagging method, a video analytics method, and a Computer Assisted Dispatch (CAD) system use incident reports for video tagging and searching. A CAD system is integrated with field-based video surveillance systems to aid in searching video content and subsequent tagging of the video content. The systems and methods can include extracting keywords from a CAD incident report and creating a small, focused, and incident-specific dictionary on which to perform video searching in real-time. The small, focused, and incident-specific dictionary increases tagging accuracy and reduces tagging processing time in the context of video analytics. Further, a multi-pass approach in real-time continually updates and disseminates to video cameras of interest the small, focused, and incident-specific dictionary as the CAD incident report is updated and as the incident of interest plays out.