Image Processing Apparatus Automatic Page Partition Bookmarking
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Solution Overview
Problem
Existing image processing systems require users to manually attach bookmark images to multiple pages, making it inconvenient and labor-intensive when searching for specific pages within an image file.
Innovation Solution
An image processing apparatus that acquires, extracts color information, and determines if it meets predetermined conditions for page partitioning, automatically adding searchable additional information to pages, allowing for efficient page grouping and searching without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user manually attaches bookmark images to multiple pages, then the image file can be searched by page groups, but the quantity of work increases and convenience deteriorates
Solution Approach 1:
The image processing apparatus automatically identifies partition pages based on color information extraction and additional information attachment without requiring user intervention. The system performs self-service by autonomously determining which pages need bookmark images based on color characteristics and automatically attaching them, thereby eliminating the manual work previously required from users.
Solution Approach 2:
The manual mechanical action of attaching bookmark images by users is replaced with an automated image processing system that uses color information extraction algorithms. The system substitutes human manual operations with automated digital processing to identify and attach bookmark images based on color characteristics of pages.
2Ease of operation
If bookmark images are attached to all pages, then searching becomes easier, but the device complexity and processing requirements increase
Solution Approach 1:
Instead of uniformly treating all pages, the system applies local quality by selectively attaching bookmark images only to partition pages that meet specific color criteria. The system identifies and processes only the necessary pages based on their color characteristics, avoiding unnecessary processing of all pages and reducing overall system complexity.
Solution Approach 2:
The system uses color information as a parameter to determine which pages require bookmark image attachment. By changing the criterion from universal attachment to conditional attachment based on color parameters, the system reduces processing complexity while maintaining search functionality.
Data Source
AI summary
An image processing apparatus including an acquisition unit, an extraction unit, a determination unit and an addition unit is provided. The acquisition unit acquires an image of one page from images of a plurality of pages included in one file. The extraction unit extracts color information, which is information about a color of the image of the one page acquired by the acquisition unit. The determination unit determines whether the color information extracted by the extraction unit satisfies a predetermined condition for specifying a page partition. The addition unit adds additional information, by which the page partition can be searched, to at least one of the images of the plurality of pages, when the determination unit determines that the color information satisfies the predetermined condition.


