Imaging Control for Selective Video Signature Generation
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Solution Overview
Problem
Existing image editing and tampering detection technologies in cameras increase processing load and power consumption by generating digital signatures for all captured images, including those that do not require evidentiality, and fail to ensure images are not tampered with after capture.
Innovation Solution
An imaging apparatus that generates digital signatures only for frames or portions of video that require evidentiality, determined by specific triggers such as motion, sound, or acceleration, reducing processing load and ensuring tampering detection during image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital signatures are generated for all captured images to ensure evidentiality, then security and tampering detection capability are improved, but processing load and power consumption increase
Solution Approach 1:
The patent segments video data into individual frames and applies digital signature generation selectively to only those frames containing detected objects, rather than processing all frames uniformly. This segmentation approach reduces the total number of frames requiring signature generation, thereby lowering power consumption while maintaining evidentiality for critical moments.
Solution Approach 2:
The patent implements local quality by varying the processing intensity across different frames based on their content. Frames containing detected objects receive full signature generation processing, while frames without objects use simplified or skipped processing. This local differentiation optimizes the balance between security and power consumption.
2Reliability
If digital signatures are generated for all captured images to ensure evidentiality, then security and tampering detection capability are improved, but processing load increases
Solution Approach 1:
The patent divides the video stream into discrete frames and identifies specific frames containing detected objects for signature generation. This segmentation reduces the overall processing load by excluding frames that do not require evidentiality verification, while still maintaining security for critical moments.
Solution Approach 2:
The patent applies partial action by generating digital signatures only for a subset of frames that contain detected objects, rather than performing the action on all frames. This selective approach reduces processing load while providing sufficient evidentiality for moments that matter.
3Reliability
If digital signatures are generated for all captured images to ensure evidentiality, then tampering detection capability is improved, but heat generation increases
Solution Approach 1:
The patent segments video processing into frame-level operations and applies signature generation only to frames with detected objects. This segmentation reduces the cumulative heat generation from processing operations while preserving tampering detection capability for critical frames.
Solution Approach 2:
The patent implements local quality by concentrating processing resources on specific frames containing objects of interest, rather than uniformly processing all frames. This localized approach reduces overall heat generation while maintaining security for important moments.
Data Source
AI summary
An acquisition unit acquires a video captured by an imaging unit frame by frame. A generation unit generates a digital signature for the frame of the video where a predetermined event related to an imaging apparatus or the video occurs. In a case where the predetermined event is determined as being ended, the generation unit ends the generation of the digital signature for the frame of the video.