Moving Image Subject Detection for Dynamic Trimming and Quality Control
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Solution Overview
Problem
Existing image processing technologies struggle to maintain optimal image quality and narrative intent in moving images, particularly when applying uniform trimming or quality adjustments, leading to vague impressions and difficulty in identifying and selecting subject regions.
Innovation Solution
An image processing device that utilizes a processor to detect subjects and factors in a moving image, perform trimming and quality adjustments based on subject actions, and generate associated moving images, allowing for dynamic adjustment of trimming ranges and quality parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform trimming or quality adjustment is applied to the entire moving image, then processing simplicity is maintained, but image quality and narrative intent are degraded
Solution Approach 1:
The patent applies different image processing operations to different regions of the moving image based on detected subjects and factors. Instead of uniform processing, the system identifies specific regions containing subjects and applies trimming or quality adjustments locally to those regions, thereby maintaining high image quality where needed while simplifying processing in other areas.
Solution Approach 2:
The patent segments the moving image into multiple regions based on detected subjects and factors. By dividing the image into subject-containing regions and other regions, the system can apply different processing strategies to each segment, achieving both processing efficiency and high image quality in critical areas.
2Manufacturing precision
If complex editing tasks are performed manually to maintain narrative intent, then image quality is improved, but user workload increases
Solution Approach 1:
The patent implements automated subject detection and factor analysis that enables the system to perform editing tasks autonomously. By detecting subjects, actions, and factors automatically, the system reduces the need for manual user intervention while maintaining narrative intent, thereby decreasing user workload without sacrificing image quality.
Solution Approach 2:
The patent uses detected factors (such as subject actions, movements, and interactions) to dynamically adjust image processing parameters. This feedback mechanism allows the system to automatically adapt trimming and quality adjustment operations based on the content being analyzed, maintaining narrative coherence without requiring manual user input for each adjustment.
3Measurement precision
If dynamic adjustment of trimming ranges is applied to maintain subject focus, then subject clarity is improved, but processing complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of trimming ranges based on detected subject positions, actions, and factors. The system continuously monitors subject movements and interactions, automatically adjusting the trimming boundaries to maintain optimal subject focus throughout the moving image sequence, thereby achieving high subject clarity without requiring complex manual intervention.
Solution Approach 2:
The patent performs preliminary detection of subjects and factors before applying trimming operations. By pre-identifying subjects, their actions, and relevant factors, the system can dynamically adjust trimming ranges in subsequent processing steps, achieving precise subject focus while managing processing complexity through structured preliminary analysis.
Data Source
AI summary
One embodiment according to the disclosed technology provides an image processing device, an imaging apparatus, and an operation method of an image processing device for performing image processing on a moving image. An image processing device according to an aspect includes a processor, in which the processor is configured to acquire a first moving image, specify a first subject included in the first moving image, detect a first factor caused by an action of the first subject in the first moving image, specify a region including a second subject in the first moving image based on the first factor, and perform image processing on at least the region including the second subject. The processor may be configured to generate a second moving image that is a moving image including the second subject. The processor may be configured to detect the second subject after detecting the first factor.