Dynamic Thumbnail Extraction for Video Print Margins
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Solution Overview
Problem
Existing methods for generating thumbnails from video images are inefficient, leading to high costs and poor user experience due to excessive paper usage and difficulty in recognizing video image content, especially when many images are recorded.
Innovation Solution
An image processing apparatus that determines the optimal number of thumbnails based on the available margin space in the output area, allowing for efficient arrangement and filling of the space, thereby reducing waste and enhancing user recognition of video image content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed number of thumbnails are extracted from video images, then the extraction process is simple, but the output area contains blank margins and paper is wasted
Solution Approach 1:
The patent applies dynamics by making the thumbnail extraction count variable rather than fixed. The system dynamically adjusts the number of thumbnails extracted from each video image based on the calculated margin space in the output area. This allows the extraction process to adapt to different output configurations, filling blank margins efficiently while preventing paper waste.
Solution Approach 2:
The patent changes the parameter of thumbnail count from a static value to a dynamic value determined by margin space calculations. By calculating the margin space in the output area and adjusting the extraction count accordingly, the system optimizes paper utilization while maintaining simple extraction processes.
2Loss of substance
If fewer thumbnails are extracted to reduce paper usage, then paper waste is reduced, but user recognition of video image content becomes difficult
Solution Approach 1:
The patent implements feedback by calculating the margin space in the output area and using this information to adjust the thumbnail extraction count. This feedback loop ensures that the number of thumbnails is optimized to both fill the output area effectively (reducing paper waste) and provide sufficient content representation for user recognition.
3Loss of information
If users can specify desired scenes for thumbnails, then content recognition is improved, but operating efficiency deteriorates
Solution Approach 1:
The patent applies self-service by enabling the system to automatically select and extract thumbnails without requiring user specification of desired scenes. The system autonomously calculates margin space, determines optimal extraction counts, and selects thumbnails based on video image analysis, thereby maintaining high operating efficiency while still achieving good content recognition.
Data Source
AI summary
When a print area is filled with an initial number α of thumbnails (reference images) and a margin β is left in a print area, a total number γ of thumbnails are added from each video image so that the margin in the print area is fully filled with the thumbnails and a waste of a paper is prevented. As the number of thumbnails of frames in a video image, it becomes easier to recognize content of the video image.