Image Processing Apparatus Layer Separation Motion Sequence
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Solution Overview
Problem
Existing motion sequence image generation methods struggle to balance the expansion of the motion range while maintaining sufficient representation, often resulting in partial subject disappearance or reduced motion smoothness.
Innovation Solution
An image processing apparatus that separates input frame images into a moving subject layer and a background layer, prioritizing the moving subject layer in the combining process to generate a combined image that covers the entire motion range without losing detail, using a layer-image combining process for partial areas and prioritizing pixels accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the extracted image width is increased to cover the entire motion range, then the subject disappearance is prevented, but the number of key frames that can be arranged in one image is decreased
Solution Approach 1:
The patent divides the single composite image into multiple sub-images arranged in a grid pattern. Each sub-image contains a portion of the motion sequence, allowing the system to maintain both wide coverage and high frame density. The segmentation is applied by dividing the display area into multiple regions, with each region displaying extracted images at appropriate sizes without overlapping.
Solution Approach 2:
The patent transitions from a single-dimension linear arrangement of key frames to a multi-dimensional grid arrangement. This dimensional change allows simultaneous display of multiple key frames across different spatial positions, effectively increasing the capacity to display more frames while maintaining individual frame quality and coverage.
2Quantity of substance
If the extracted image width is decreased to increase the number of key frames, then the motion sequence visualization is improved, but part of the subject image may disappear
Solution Approach 1:
The patent segments the motion sequence display into multiple sub-images distributed across a grid. This segmentation allows each sub-image to display key frames at optimal widths for sequence visualization while the collective grid coverage ensures complete subject representation across all sub-images.
Solution Approach 2:
By arranging multiple sub-images in a two-dimensional grid rather than a single linear sequence, the system can display more key frames simultaneously without reducing individual frame width below the threshold needed to prevent subject disappearance.
3Device complexity
If a single composite image is generated using multiple key frames, then the arrangement simplicity is maintained, but the motion range coverage is insufficient
Solution Approach 1:
The patent automatically divides the composite image into multiple sub-images in a grid arrangement. This segmentation is performed through automated processing that extracts images from key frames and distributes them across sub-images, maintaining simplicity while achieving complete motion range coverage through the collective display area of all sub-images.
Solution Approach 2:
The system transitions from a single large composite image to a multi-dimensional grid of sub-images. This dimensional expansion provides sufficient total coverage area for complete motion range representation while the automated grid layout process maintains operational simplicity.
Data Source
AI summary
An image processing apparatus includes a layer separating unit configured to separate an input frame image data item into a moving subject layer and a background layer and a combining processing unit configured to generate a combined image data item by performing an image combining process using the input frame image data item. In the image combining process, top priority is given to a moving subject layer of the latest input frame image data item, a second priority is given to a moving subject layer of a frame image data item associated with a previously performed combining process, and a layer-image combining process is performed for a partial area of an existing combined image data item.