17911222. INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD simplified abstract (Rakuten Group, Inc.)
INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
Organization Name
Inventor(s)
Mitsuru Nakazawa of Tokyo (JP)
INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 17911222 titled 'INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
Simplified Explanation: The patent application describes an information processing apparatus that can analyze diverse graphs with higher speed and accuracy.
- The apparatus acquires a graph image and classifies it by type.
- It generates a probability map based on the graph image.
- It extracts components from the graph image using the probability map.
- It traces the graph using the extracted components and extracts values from them.
- Finally, it outputs the values of the components extracted.
Key Features and Innovation:
- Graph image acquisition unit
- Graph classification unit
- Probability map generation unit
- Component extraction unit
- Value extraction unit
- Output unit
Potential Applications: This technology can be used in various fields such as data analysis, image recognition, and pattern recognition.
Problems Solved: This technology addresses the need for faster and more accurate analysis of diverse graphs.
Benefits:
- Improved speed and accuracy in analyzing graphs
- Enhanced efficiency in data processing
- Better understanding of complex data structures
Commercial Applications: The technology can be applied in industries such as finance, healthcare, and research for data analysis and decision-making processes.
Questions about Graph Image Analysis: 1. How does the apparatus classify the graph image by type? 2. What are the potential real-world applications of this technology?
Frequently Updated Research: Stay updated on advancements in image processing algorithms and machine learning techniques for graph analysis.
Original Abstract Submitted
To analyze images of more diverse graphs at higher speed and accuracy, disclosed herein is an information processing apparatus, comprising: a graph image acquisition unit configured to acquire a graph image; a graph classification unit configured to classify the graph image acquired by graph type; a probability map generation unit configured to generate, from the graph image, a probability map that is of a different type by the graph type; a component extraction unit configured to extract a plurality of components in the graph image based on the probability map generated by the probability map generation unit, and trace a graph with the plurality of components extracted; a value extraction unit configured to extract values of the components of the graph image extracted by the component extraction unit; and an output unit configured to output the values of the components extracted.
