Video Cropping and Thinning for Lower Data Volume
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Solution Overview
Problem
Existing video creation methods result in increased data volume when capturing videos with moving subjects, as they capture the entire imaging range at high resolution, leading to inefficient data management.
Innovation Solution
A video creation method that involves creating a first video at a first thinning-out rate for a wide angle of view and a second video at a lower thinning-out rate for a narrower angle of view containing the target subject, with associated data for linking the two videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire imaging range is captured at high resolution, then the image quality of the video is improved, but the volume of video data increases
Solution Approach 1:
The patent applies local quality by differentiating the processing applied to different regions of the imaging range. The target subject region is processed with a lower thinning-out rate to maintain high image quality, while the non-target region is processed with a higher thinning-out rate to reduce data volume. This spatial differentiation of processing quality directly resolves the contradiction between maintaining overall image quality and reducing total data volume.
2Measurement precision
If a lower thinning-out rate is applied to the entire imaging range, then the image quality is improved, but the video data volume increases
Solution Approach 1:
The patent segments the imaging range into distinct regions: a target subject region and a non-target region. Different thinning-out rates are applied to each segment - a lower rate for the target subject to preserve image quality and a higher rate for the non-target region to control data volume. This segmentation strategy resolves the contradiction by applying quality-preserving processing only where necessary.
3Quantity of substance
If a higher thinning-out rate is applied to reduce video data volume, then the video data volume is reduced, but the image quality of the target subject deteriorates
Solution Approach 1:
The patent ensures that the target subject region is exclusively processed with a lower thinning-out rate, protecting its image quality from deterioration. The higher thinning-out rate is applied only to non-target regions where image quality is less critical. This localized quality control resolves the contradiction by preventing quality loss in the important target subject area while still achieving data volume reduction overall.
Data Source
AI summary
A video creation method includes a first recording step of reading out the pixel signals from the plurality of pixels, creating a video of a first angle of view at a first thinning-out rate, and recording first video data, and a second recording step of, in a case where a target subject exists in the first angle of view, creating a video of a second angle of view including the target subject and having a second angle of view smaller than the first angle of view at a second thinning-out rate lower than the first thinning-out rate, and recording second video data.