Key-Frame Extraction for Video Surveillance Power Reduction
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Solution Overview
Problem
Conventional surveillance systems using video cameras are expensive in terms of power consumption due to the need to store and transmit large video streams, which limits their scalability and efficiency.
Innovation Solution
The implementation of a System-on-Chip (SoC) with low power consumption capabilities, incorporating advanced data-processing modules and key-frame extraction techniques to reduce data transmission by converting video streams into a storyboard of key frames, which are then transmitted remotely, optimizing memory usage and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the video camera stores and transmits complete video streams, then surveillance coverage is comprehensive, but power consumption increases significantly
Solution Approach 1:
The patent extracts only the essential information from complete video streams by detecting events and capturing only relevant frames. The event detection module identifies significant moments, and the frame capture module stores only those frames, eliminating redundant data while preserving surveillance effectiveness.
Solution Approach 2:
The patent segments the continuous video stream into discrete event-based frames. Instead of transmitting uninterrupted video, the system divides the stream into individual frames captured at event moments, reducing data volume while maintaining key surveillance information.
2Measurement precision
If the video camera stores complete video sequences, then event detection accuracy is maintained, but memory usage increases
Solution Approach 1:
The system extracts only the frames containing events of interest rather than storing complete video sequences. The event detection module identifies which frames contain significant information, and only those frames are captured and stored, dramatically reducing memory requirements while preserving event detection capability.
3Loss of information
If the system transmits complete video streams remotely, then data completeness is ensured, but transmission time increases
Solution Approach 1:
The patent transmits only the essential event frames rather than complete video streams. By extracting and transmitting only the frames that contain meaningful surveillance information, the system maintains data completeness for event analysis while dramatically reducing transmission time and bandwidth requirements.
4Productivity
If key-frame extraction is performed continuously, then data transmission is optimized, but processing time increases
Solution Approach 1:
The system performs key-frame extraction periodically based on event detection rather than continuously. The event detection module triggers frame capture only when significant events occur, eliminating unnecessary processing during normal conditions while maintaining optimized data transmission when events are detected.
Data Source
AI summary
An embodiment of a video-surveillance method comprising: activating a video camera for acquiring, for a surveillance system comprising the aforesaid video camera, a digital video sequence of images of a scene to be surveyed, detecting given events and transmitting to a remote center images of the aforesaid digital video sequence of images acquired according to the result of the aforesaid operation of event detection. An embodiment includes: executing an operation of extraction of key frames on the aforesaid digital video sequence of images for composing a visual storyboard, detecting given events on the basis of data supplied by one or more event sensors for generating an event signal, controlling operating states assumed by the aforesaid key-frame-extraction operation as a function of the values assumed by the aforesaid event signal, and transmitting the aforesaid visual storyboard to the aforesaid remote center.