Forensic Video Search Interface for Complex Event Analysis
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Solution Overview
Problem
The vast amount of video surveillance data from camera networks exceeds the capacity of operators to search for and analyze complex events effectively, hindering the potential of video surveillance technology in security and safety applications.
Innovation Solution
A forensic video search user interface that accesses databases of video event metadata from multiple camera streams, allowing users to query and visualize events by time, location, and objects, with features like object tracking and avatar search to identify and link relevant footage across multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If automated video analytic modules are used to analyze video content and generate event metadata, then the analysis capability is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an event metadata database as an intermediary layer between video cameras and user interfaces. Video content analysis modules process video streams and store extracted event information in this database, which then serves as a searchable repository. This mediator simplifies the overall system architecture by separating the complex analysis function from the user interaction layer, allowing users to query events without directly interacting with the complex video analysis processes.
Solution Approach 2:
The patent extracts key event information from complete video streams and stores only the essential metadata (event type, timestamp, location, objects involved) in a separate database. This extraction process separates the critical analytical information from the full video data, enabling efficient searching and analysis without requiring users to process entire video streams, thus managing complexity while maintaining analysis capability.
2Difficulty of detecting and measuring
If VCA modules analyze multiple camera streams to detect complex events, then the detection capability is improved, but the loss of time increases
Solution Approach 1:
The patent implements preliminary action by continuously processing video streams through VCA modules and pre-storing extracted event metadata in the database before any user search is initiated. Events are detected, analyzed, and indexed in advance with all relevant information (objects, timestamps, locations) already processed and organized. When users search for complex events, they query this pre-processed metadata rather than analyzing raw video streams in real-time, dramatically reducing search time while maintaining comprehensive detection capability.
3Area of stationary object
If the volume of video surveillance data is increased to cover more areas, then the coverage is improved, but the ease of operation deteriorates
Solution Approach 1:
The patent extracts and stores essential event information (what, when, where, who) from video streams in a structured metadata database. This separation allows the system to maintain extensive video surveillance coverage across multiple cameras and areas while providing users with a simplified search interface that queries organized event data rather than browsing through vast volumes of raw video footage, thus maintaining ease of operation despite increased coverage.
Solution Approach 2:
The patent segments the surveillance system into distinct functional components: video capture, content analysis, metadata storage, and user querying. The event metadata database is segmented into organized fields (event type, timestamp, location, objects) that can be independently queried. This segmentation allows the system to handle data from numerous cameras across large areas by breaking down the complex search task into manageable query parameters, maintaining operational simplicity despite expanded coverage.
Data Source
AI summary
A forensic video search user interface is disclosed that accesses databases of stored video event metadata from multiple camera streams and facilitates the workflow of search of complex global events that are composed of a number of simpler, low complexity events.