Video Stream Display Prioritizing Critical Events
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Solution Overview
Problem
In video surveillance systems, security operators face challenges in efficiently managing and reviewing multiple video streams from cameras, as they struggle to distinguish between normal and suspicious events, leading to difficulties in prioritizing and tracking relevant information.
Innovation Solution
A method and system that categorize events into groups based on video capture device identity and event type, determine the frequency of these groups, and selectively display video frames inversely related to the frequency, using a priority-based display window sequence to prioritize recent and high-priority events, and allow user input to manage and log events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple video streams are displayed simultaneously on the display, then operators can review more events, but operators cannot efficiently identify critical events due to information overload
Solution Approach 1:
The display is segmented into multiple display windows, each showing a different video stream. The system divides the overall video monitoring task into separate visual zones, allowing operators to view multiple streams simultaneously while maintaining the ability to focus on individual critical events by selecting specific windows.
Solution Approach 2:
The system uses color-coded indicators and visual cues to differentiate between normal and suspicious events across the multiple video streams. Critical events are highlighted through color changes in the display interface, enabling operators to quickly identify which video streams require immediate attention without having to manually analyze each stream in detail.
2Loss of information
If video streams are displayed in random order, then all events are visible, but operators cannot rapidly prioritize suspicious events requiring investigation
Solution Approach 1:
The system performs preliminary prioritization of video streams by analyzing event characteristics and automatically ranking them by suspiciousness before display. Video streams containing suspicious events are pre-identified and positioned in prominent display windows, so operators receive already-filtered information that requires minimal additional analysis.
Solution Approach 2:
The display system provides continuous feedback to operators about the priority level of each video stream through visual indicators. When new events are detected, the system dynamically adjusts the display order and highlights changed priorities, allowing operators to respond to evolving situations without manually re-evaluating all streams.
3Speed
If new video streams are suddenly presented on the display, then operators receive real-time event information, but operators lose track of existing video streams
Solution Approach 1:
The display arrangement is designed to be dynamic rather than static. When new video streams are introduced, the system smoothly transitions the display configuration, animating the entry of new windows and the repositioning of existing ones. This dynamic adjustment maintains spatial context for operators, allowing them to track where streams are moving to without losing orientation.
Solution Approach 2:
The display system uses a hierarchical window arrangement where primary display windows contain or are adjacent to secondary windows. When new video streams are added, they are nested into the existing display structure rather than disrupting it entirely, maintaining a stable overall layout while accommodating new information.
Data Source
AI summary
A method for displaying video streams involves detecting multiple video events, and displaying multiple video streams on a display. Display windows for displayed video streams define an ordered sequence of display windows. When a new event is detected, the display of one or more of the video streams is shifted to respective next one or more display windows in an ordered sequence of display windows.