Storage Control Device for Image Object Outline Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image analysis technologies, such as those using JPEG compression and EM algorithms, face challenges in efficiently generating and reusing object information from captured images, and struggle to easily specify the outline of objects within these images due to high analysis costs and prioritization of compression rate over object-related information.
Innovation Solution
A storage control method that receives captured images and association information, divides the images into blocks, and generates and stores specific image data to include either the first or second object, using a Zelkova tree-based encoding system to efficiently encode and store object outlines without requiring extensive decoding or edge detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If JPEG compression is used to prioritize compression rate, then compression efficiency is improved, but object-related information is lost and analysis costs increase
Solution Approach 1:
The patent extracts object-related information (outlines, boundaries, semantic data) from captured images before compression, storing this extracted information separately. This allows the main image data to be heavily compressed while the extracted object information remains intact and reusable for analysis, resolving the contradiction between compression rate and information retention
Solution Approach 2:
The system performs preliminary extraction of object outlines and boundaries before compression occurs. By pre-processing the image to identify and extract key object features, the system ensures this information is preserved and can be reused without requiring full image decompression, thus maintaining information while achieving high compression
2Measurement precision
If conventional EM algorithms are used for object recognition, then object detection capability is improved, but analysis costs and processing time increase
Solution Approach 1:
The patent creates simplified copies of object information in the form of outlines and boundary data that can be stored and reused. Instead of performing complex EM algorithms on the full image each time, the system uses these pre-created outline copies for subsequent analysis, dramatically reducing processing time while maintaining detection accuracy
Solution Approach 2:
The image processing is segmented into distinct stages: initial detailed analysis using EM algorithms to extract object outlines, followed by reuse of these extracted outlines for subsequent analysis tasks. This segmentation allows the computationally intensive work to be done once, with the results reused multiple times, reducing overall analysis costs
3Measurement precision
If detailed edge detection is performed to specify object outlines, then outline specification accuracy is improved, but processing complexity and costs increase
Solution Approach 1:
The patent extracts only the essential outline and boundary information from images, separating this key geometric data from the full image content. This extracted outline data provides sufficient accuracy for object specification without requiring complex edge detection on the entire image, reducing processing complexity while maintaining outline specification accuracy
Solution Approach 2:
Object outlines are detected and extracted in advance during the initial image processing stage. These pre-detected outlines are then stored and reused for subsequent tasks, eliminating the need to perform complex edge detection repeatedly and reducing overall processing complexity
Data Source
AI summary
A storage control device specifies, based on association information, blocks in each of which the boundary is included from among a plurality of blocks. The storage control device generates, for each of the specified blocks, first image data and second image data. The first image data is image data that includes a first object and that does not include a second object, whereas the second image data is image data that includes a second object. The storage control device stores the generated first image data and the second image data in a storage unit so as to be identifiable.