Smart Video Digest System for Event Extraction
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Solution Overview
Problem
Existing video surveillance systems are inefficient in directing reviewers to relevant events, requiring manual playback of lengthy recordings and lacking effective filtering tools, making it a time-consuming process to identify significant events.
Innovation Solution
Automatically creating a short summary video clip from real-time recordings based on user-defined rules, such as motion, duration, color, or item presence, to highlight significant events, allowing for quicker information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual playback of video recordings is used to identify relevant events, then complete review of all video content is possible, but the review process becomes extremely time-consuming
Solution Approach 1:
The system extracts only the relevant video segments containing events that match user-defined criteria from the complete video recording. This extraction process creates a condensed summary video that contains only the portions of interest, eliminating the need to review entire hours of footage while maintaining complete coverage of relevant events.
Solution Approach 2:
The system performs preliminary analysis of video recordings to identify and flag segments containing events matching predefined criteria before the user needs to review them. By pre-processing the video content and organizing relevant segments, the system prepares the material in advance, allowing users to directly view only the pre-identified relevant portions without manual searching.
2Loss of information
If existing analytic tools are used to filter search results, then some relevant events can be identified, but users must still play back each video individually
Solution Approach 1:
The system merges multiple filtered video segments into a single consolidated summary video. Instead of presenting users with separate search results that require individual playback, the system combines all relevant segments into one continuous video file that can be reviewed in a single playback session, significantly improving operational convenience while maintaining filtering effectiveness.
Solution Approach 2:
The summary video acts as an intermediary between the complete video recording and the user's review process. It serves as a intermediate product that contains all filtered relevant events in a condensed format, allowing users to review comprehensive information without the laborious process of individually playing back multiple separate video segments.
3Reliability
If complete video recordings are reviewed to ensure all events are captured, then no relevant events are missed, but the volume of video to be reviewed becomes unmanageable
Solution Approach 1:
The system segments the complete video recording into discrete event-based clips based on detected events matching user criteria. Each segment represents a complete, isolated event, and all segments are collected into a summary video. This segmentation approach maintains reliability by ensuring each relevant event is captured as a complete unit while reducing the overall review complexity through modular organization.
Data Source
AI summary
A method of summarizing events in a video recording includes evaluating at least one video recording to identify event that violate at least one rule. The method further includes excerpting a fragment of the at least one video recording. The fragment contains a depiction of the event. The method also includes causing the fragment to be included in a summary video recording. The rules may relate to a threshold amount of motion in a physical space being recorded in the at least one received video recording, or a threshold duration of motion in a physical space being recorded in the at least one received video recording.


