Event-Oriented Multi-Channel Video Backup for Surveillance
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Solution Overview
Problem
Existing network surveillance camera systems face challenges in efficiently selecting and backing up video information associated with specific events or accidents from stored data across multiple surveillance areas.
Innovation Solution
An event-oriented multi-channel video backup apparatus and method that specifies a predetermined object in multi-channel video information, searches for relevant video information, and backs up and plays back the search results in an event-oriented manner, using a network surveillance camera system with a video receiving/searching device and a video backup device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video information from multiple surveillance areas is stored simply for a specific period, then storage is straightforward, but it is inconvenient to select only information associated with a specific event or accident
Solution Approach 1:
The system performs preliminary actions by automatically analyzing video content, generating event detection results, and organizing video information by event type before user retrieval. This pre-processing of video data into event-oriented categories eliminates the need for manual searching through raw stored footage, thereby improving ease of operation and reducing search time.
Solution Approach 2:
The system introduces an intermediary component (video analysis and event detection module) that sits between the raw video storage and the user interface. This intermediary automatically processes video content, extracts meaningful events, and presents organized results to users, thereby solving the contradiction between simple storage and efficient event-based retrieval.
2Reliability
If video information is stored for each camera without event-based organization, then storage is simple, but there is difficulty in searching for information stored for each camera and low reliability of selected backup information
Solution Approach 1:
The system segments video information into distinct event-based categories and channels rather than storing as undifferentiated camera footage. By dividing the video data into event-oriented segments with metadata tags, the system improves the reliability of selected backup information while managing complexity through automated classification algorithms.
Solution Approach 2:
The system changes the organizational parameters of video storage from simple camera-based indexing to event-based metadata tagging. This parameter change enables more reliable retrieval of event-related information by using multiple classification dimensions (event type, time, location, channel) rather than relying solely on camera identification.
3Productivity
If all video information from multiple channels is backed up, then comprehensive coverage is achieved, but storage efficiency and retrieval efficiency are reduced
Solution Approach 1:
The system extracts only the relevant event-related video information from the multi-channel video streams for backup purposes. By using event detection algorithms to identify and extract only the portions of video containing meaningful events, the system reduces the volume of stored data while maintaining high productivity in terms of backup and retrieval efficiency.
Solution Approach 2:
Instead of backing up all video information excessively, the system applies partial action by selectively backing up only event-related segments. This partial backup approach optimizes storage efficiency and retrieval productivity by focusing resources on the most valuable portions of the video data.
Data Source
AI summary
A network surveillance camera system includes a network surveillance camera system including: a video receiving and/or searching device connected to a plurality of cameras through a network, and configured to receive video information in real time from the plurality of cameras through multiple channels and perform a video search on the video information; and a video backup device configured to store event-oriented and channel-wise video backup information generated according to a result of the video search of the video receiving and/or searching device, and play back the event-oriented and channel-wise video backup information, wherein the video information is obtained by the plurality cameras configured to capture a plurality of surveillance areas, respectively, and wherein the event-oriented and channel-wise video backup information includes a video backup file generated for each channel and a video playback software player.