Camera Image Encoding via Oscillation Frequency Segmentation
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Solution Overview
Problem
Video encoding for body-worn cameras faces limitations due to battery power constraints and limited bitrate for wireless transmission, particularly when the camera undergoes periodic movements, leading to increased bitrate requirements and storage needs.
Innovation Solution
A method that identifies a base subset of images corresponding to the oscillation frequency of periodic camera movements, encoding these into an encoded video stream comprising intra and inter frames, allowing for reduced bitrate by omitting non-essential movement-related frames, and adaptively transmitting either the base subset or additional subsets based on available bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all images in the image sequence are encoded using conventional encoding, then complete video content is preserved, but bitrate increases significantly due to periodic camera movements
Solution Approach 1:
The image sequence is segmented into a base subset of images and additional subsets. The base subset contains images at positions corresponding to the oscillation frequency (where camera movement is minimal), while additional subsets contain images captured in-between. This segmentation allows selective encoding to reduce bitrate while preserving essential content.
Solution Approach 2:
The periodic movement component is extracted and identified through oscillation frequency detection. By identifying which images are affected by periodic movement and separating them into additional subsets, the encoding process can focus resources on the base subset where content is most stable and important, reducing overall bitrate requirements.
2Adaptability or versatility
If camera moves periodically during capture, then dynamic scene coverage is improved, but motion estimation fails and intra encoding is required increasing bitrate
Solution Approach 1:
The invention leverages the periodic nature of camera movement by detecting the oscillation frequency. Images are selected at specific periodic intervals (at the oscillation frequency) where the camera returns to similar positions, creating a base subset with minimal movement between consecutive images. This allows inter-encoding to succeed and reduces bitrate while maintaining scene coverage through additional subsets.
3Use of energy by moving object
If wireless transmission bandwidth is limited, then power consumption is reduced, but video quality and completeness suffer
Solution Approach 1:
The encoding approach is made dynamic by adaptively selecting between transmitting only the base subset (lower bitrate, lower power) or transmitting both base and additional subsets (higher bitrate, higher power) based on available bandwidth conditions. This dynamic adaptation allows the system to optimize the trade-off between power consumption and video quality according to real-time transmission capabilities.
Data Source
AI summary
The present invention relates to the field of video encoding. In particular, it relates to a method 300 of encoding images captured by a camera and to an image processing device. An image sequence captured with an image sensor of the camera is obtained S310, and an oscillation frequency of a periodic movement of the camera during capturing of the image sequence is determined S320. A base subset of images of the image sequence corresponding to the oscillation frequency is identified S330 and the base subset of images are encoded S340 into an encoded video stream comprising intra frames and inter frames.