Hierarchical Summary Data for Moving Image Search
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Solution Overview
Problem
Existing technologies face challenges in efficiently searching and managing large quantities of moving image contents due to the difficulty in isolating specific contents amidst numerous similar images, leading to increased time and effort as the amount of content grows.
Innovation Solution
An image processing apparatus and method that generates first and second layer summary data from images within moving image contents at different frequencies, allowing for efficient searching and management by utilizing these summary data to search and compress the contents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If metadata comparison is used to search moving image contents, then search capability is provided, but search efficiency deteriorates when numerous similar images exist
Solution Approach 1:
The patent segments the search process into two distinct layers: first layer summary data for coarse-grained filtering and second layer summary data for fine-grained matching. This segmentation allows the system to quickly eliminate unrelated contents using the first layer, then apply the more computationally intensive second layer only to relevant candidates, thereby resolving the contradiction between providing comprehensive search capability and maintaining search efficiency.
Solution Approach 2:
The patent introduces a hierarchical dimension to the search process by creating multiple layers of summary data with different levels of detail. The first layer provides a coarse overview for rapid filtering, while the second layer provides detailed information for precise matching. This dimensional approach transforms a single-layer exhaustive search into a multi-layer progressive search, significantly improving efficiency when dealing with numerous similar images.
2Ease of operation
If representative moving image is used for search, then search is simplified, but ability to isolate specific content deteriorates when content quantity grows
Solution Approach 1:
The patent segments the representation of moving image contents into two hierarchical levels: first layer summary data capturing coarse characteristics for broad categorization, and second layer summary data capturing fine characteristics for precise identification. This segmentation enables the system to maintain search simplicity through hierarchical filtering while improving content isolation accuracy by using progressively more detailed representations.
Solution Approach 2:
The patent adds a hierarchical dimension to content representation by creating multiple layers of summary data. The first layer provides a simplified view for initial filtering, while the second layer provides a detailed view for precise matching. This dimensional approach allows the system to balance search simplicity with content isolation accuracy, as users can perform searches at different levels of granularity depending on their needs.
3Reliability
If all moving image contents are managed, then comprehensive management is achieved, but management efficiency deteriorates with increasing content volume
Solution Approach 1:
The patent segments the management of moving image contents into two hierarchical layers: first layer summary data for comprehensive but coarse management, and second layer summary data for detailed but selective management. This segmentation allows the system to maintain comprehensive management coverage while improving efficiency by enabling rapid filtering at the first layer before applying more resource-intensive processing at the second layer.
Solution Approach 2:
The patent introduces a hierarchical dimension to content management by creating multiple layers of summary data with different levels of detail and processing requirements. This dimensional approach transforms flat, exhaustive management into a multi-level hierarchical management system, where contents are managed comprehensively at the first layer and selectively at the second layer, thereby improving overall management efficiency while maintaining reliability.
Data Source
AI summary
An image processing apparatus includes: a first layer summary data generation section; a second layer summary data generation section; a first search section; and a second search section.