Electronic Device Glossary Generation via Marker Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies for extracting and interpreting marker portions from document image data are cumbersome for users, requiring multiple steps to access and summarize information related to marked texts, which is not user-friendly.
Innovation Solution
An electronic device with acquisition, detection, communication, and processing sections that analyze image data, communicate with external servers for dictionary functions, and generate glossaries from detected marker portions, simplifying the process of obtaining information related to marked texts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually search for text information using multiple dictionary functions, then comprehensive text information can be obtained, but the operation process becomes complex and time-consuming
Solution Approach 1:
The system automatically detects marker portions in document images, identifies the corresponding text, and autonomously searches multiple dictionary functions to gather comprehensive text information without requiring manual user intervention for each search step
Solution Approach 2:
The system integrates multiple dictionary functions (English dictionary, Japanese dictionary, Chinese dictionary, etc.) into a single unified interface, allowing users to access comprehensive text information through one operation rather than switching between multiple separate dictionary tools
2Adaptability or versatility
If users access multiple external servers with different dictionary functions, then diverse text information can be retrieved, but the device complexity and communication overhead increase
Solution Approach 1:
The image processing apparatus acts as an intermediary that manages communication with multiple external dictionary servers, automatically selecting and coordinating with appropriate servers based on the detected text and marker portion type, thereby shielding users from the underlying complexity of multiple server interactions
3Productivity
If the system automatically processes marker portions and generates glossaries, then user productivity increases, but the extent of automation requires sophisticated processing algorithms
Solution Approach 1:
The system performs preliminary detection of marker portions in the document image before the user requests information, pre-identifying the text regions that require dictionary lookup, and automatically initiates the search process across multiple dictionaries to generate comprehensive glossary information in advance
Data Source
AI summary
Provided are: an acquisition section that acquires image data; a detection section that detects a marker portion indicated in the image data; a communication section that performs communication with either one or a plurality of external servers including at least one of a plurality of dictionary functions; a processing section that (i) specifies, from the dictionary functions, a dictionary function in accordance with a type of the marker portion, and (ii) causes the communication section to transmit, to the external server including the specified dictionary function, an instruction to search for a text indicated by the marker portion, and for information related to the text, by using the dictionary function; and a generation section that generates a glossary including the received information related to the text upon reception of the information related to the text as a search result from the external server by the communication section.