Selective Region of Interest Encryption for Video Frames
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Solution Overview
Problem
Existing video encryption methods require significant time for encrypting regions of interest in videos, particularly due to the need for object detection in each frame.
Innovation Solution
A video encryption method and device that selectively detect and encrypt regions of interest in only certain frames, particularly those with a high frequency of references, thereby reducing the overall encryption time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object detection is performed on every frame to identify regions of interest, then encryption coverage is improved, but encryption time increases
Solution Approach 1:
The video frames are segmented into two categories: key frames (I-frames and P-frames) and non-key frames (B-frames). Object detection and encryption are selectively applied only to key frames, while non-key frames are encrypted without detection. This segmentation resolves the contradiction by maintaining encryption coverage on important frames while eliminating redundant detection time on less critical frames.
Solution Approach 2:
Different processing quality is applied to different frame types: full detection and encryption for key frames, and simplified encryption without detection for non-key frames. This local quality approach ensures that frames requiring higher security (key frames) receive comprehensive processing, while less critical frames receive adequate but faster processing, thus balancing coverage and time.
2Reliability
If encryption is performed on all frames, then security is improved, but processing efficiency deteriorates
Solution Approach 1:
Instead of applying full object detection and encryption to all frames, the method applies partial action (detection plus encryption) only to key frames, and excessive action (encryption only without detection) to non-key frames. This resolves the contradiction by providing sufficient security through encryption on all frames while maintaining high processing efficiency by eliminating redundant detection steps on non-critical frames.
3Reliability
If region of interest detection is performed on every frame, then de-identification completeness is improved, but time consumption increases
Solution Approach 1:
The method performs preliminary identification of key frames based on frame type classification before applying object detection. By pre-determining which frames require detection (only key frames), the system avoids unnecessary detection time consumption while ensuring that all frames requiring de-identification are processed, thus resolving the contradiction between completeness and time consumption.
Data Source
AI summary
Disclosed are a video encryption method and device capable of reducing the time required for encrypting a region of interest. The disclosed video encryption method includes selecting one or more target frames to be encrypted from among frames of a target video, detecting regions of interest in the target frame, and performing encryption on the regions of interest.