Video Search Device Thumbnail Metadata Multi-Channel Surveillance
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Solution Overview
Problem
Conventional network surveillance camera systems face difficulties in intuitively identifying channels with high event frequency occurrences, as they lack thumbnail images and metadata tags, making it hard for users to analyze and compare event occurrences across multiple channels.
Innovation Solution
A network surveillance camera system that includes cameras generating metadata and still images from video analysis information, with a video search device displaying thumbnails and metadata tags on a viewer, prioritizing channels with high event frequencies and allowing users to search through a menu bar for detailed event information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video information is displayed using divided screens for each channel, then all channels can be monitored simultaneously, but it becomes difficult to intuitively identify channels with high event frequency occurrence
Solution Approach 1:
The patent creates thumbnail images as visual copies of the video content from each channel. These thumbnails serve as simplified representations that can be displayed alongside event frequency information, allowing users to quickly identify channels with high event occurrence without needing to analyze full video streams or rely on non-visual metrics alone.
Solution Approach 2:
The patent adds a new visual dimension by displaying thumbnail images in conjunction with event frequency data. This transforms the monitoring interface from a single-dimensional screen division approach to a multi-dimensional display that combines visual thumbnails with quantitative event frequency information, enabling more intuitive comparison across channels.
2Loss of information
If new windows (event logs, dashboards) are deployed to compare event frequency, then event comparison capability is provided, but thumbnails are not provided making it difficult to check and compare each event occurrence with captured images
Solution Approach 1:
The patent merges the event frequency comparison functionality with visual thumbnail display into a unified interface. Instead of separating event logs and video feeds into different windows, the system combines them by displaying thumbnails directly associated with their corresponding event frequency data, allowing simultaneous visual verification and quantitative comparison.
Solution Approach 2:
The patent generates thumbnail images as visual copies that represent the captured video content. These thumbnails are displayed in the same interface where event frequency comparison occurs, enabling users to visually verify events while comparing frequencies across channels without needing to switch between separate windows or tabs.
3Productivity
If video analysis information is processed to generate thumbnails and metadata tags, then search efficiency is improved, but additional processing steps are required
Solution Approach 1:
The patent performs video analysis and generates thumbnail images in advance, before the user needs to search or review video content. By pre-processing the video streams to create condensed visual representations and associated metadata tags, the system reduces the time and computational resources needed during actual search operations, improving overall productivity despite the added initial processing step.
Data Source
AI summary
A network surveillance camera system includes a plurality of cameras configured to photograph a plurality of surveillance areas to acquire video information for the respective surveillance areas and transmit the acquired video information of each surveillance area to each channel, and a video receiving/search device connected to the plurality of cameras via a network and configured to receive the video information from the cameras in real time and search for the transmitted multi-channel video information, wherein the video receiving/search device includes a video search viewer configured to generate a thumbnail image and a metadata tag corresponding to an event of each channel based on video analysis information for each of the channels, display the generated thumbnail image and metadata tag, and search for the transmitted multi-channel video information.