Event Packaging Video Sequence for Surveillance Search
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Solution Overview
Problem
Current video surveillance systems lack an automated means to efficiently extract and transmit video clips containing specific events, leading to increased search times and slower response times for operators.
Innovation Solution
A method and system for packaging video sequences based on user-specified events, involving the acquisition of video streams, extraction of event information, storage of event parameters, and automatic association of video clips with these parameters, which can be exported to external agents for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual scanning of video streams is used to find events, then system complexity is reduced, but search time and response time increase significantly
Solution Approach 1:
The system performs preliminary automated processing of video streams by extracting event information and packaging relevant video clips into event packages before operator review. This preliminary action includes automatic event detection, parameter extraction, and video clip assembly, which significantly reduces the time operators would otherwise spend manually scanning video streams while maintaining manageable system complexity through modular architecture
Solution Approach 2:
An automated event packaging system acts as an intermediary between the video stream source and the operator. This intermediary automatically processes raw video streams, extracts event parameters, identifies relevant video clips, and presents organized event packages to operators. This intermediary layer reduces both search time and system complexity by handling time-consuming processing tasks automatically while presenting simplified information to operators
2Loss of time
If automated event extraction and packaging is implemented, then response time is reduced, but device complexity increases
Solution Approach 1:
The automated event extraction system is divided into distinct functional modules: event detection module, parameter extraction module, video clip identification module, and packaging module. Each module performs a specific function independently, which reduces the complexity of individual components while achieving fast automated response times through their coordinated operation. This segmentation allows the system to process events automatically without requiring overly complex monolithic architecture
Solution Approach 2:
The system replaces manual mechanical operations (operators manually scanning and selecting video clips) with automated computational processes. Event detection algorithms automatically analyze video streams, parameter extraction software automatically identifies event characteristics, and automated packaging systems assemble video clips without manual intervention. This substitution of mechanical human operations with automated computational systems reduces response time while managing device complexity through software-based solutions
3Loss of information
If entire video clips are recorded for later analysis, then no event information is lost, but storage requirements and processing time increase
Solution Approach 1:
The system extracts only the relevant portions of video streams that contain event information, rather than recording entire video clips. Event detection algorithms identify specific time intervals where events occur, and the system extracts only these relevant segments along with associated event parameters. This extraction approach preserves all necessary event information while dramatically reducing the volume of video data that requires storage and processing, thereby reducing analysis time
Data Source
AI summary
Methods and systems for packaging video sequences based on user-specified events are described herein. An illustrative method of event-packaging a video sequence may include the steps of acquiring a video stream containing an event of interest, extracting various event information from the video stream and storing one or more event parameters within an event database, extracting a video clip from the video stream containing the event of interest, associating metadata representing the event parameters to the video clip, and exporting the video clip containing the event of interest and associated metadata to an external agent. In certain embodiments, a video image-processing appliance manager and/or one or more appliance modules can be provided to automatically extract event information from the acquired video stream, and to manage the indexing and storage of event parameters within the event database. A graphical user interface may also be provided to permit the event information extracted from the video stream to be compared against a set of user-specified event parameters.