Handwritten Data Search by Participant Using Stroke Segmentation
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Solution Overview
Problem
Users face difficulties in efficiently searching for specific handwritten data on electronic whiteboards during conferences, as existing systems often return entire minutes, making it hard to find target data drawn by a particular participant.
Innovation Solution
The system divides handwritten data into meaningful units and associates each unit with the writer's information, allowing users to search for data by participant name, thereby providing only the relevant strokes drawn by the intended writer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system stores all handwritten data as complete minutes, then all data is preserved, but searching for specific participant's data becomes difficult and returns excessive information
Solution Approach 1:
The system segments handwritten data by dividing it into individual stroke units, each associated with writer identification information. This segmentation allows the search function to retrieve only strokes created by a specific participant rather than returning all handwritten content, thus improving search efficiency while preserving complete data.
Solution Approach 2:
The system extracts writer identification information from each stroke of handwritten data and stores it separately. This extraction enables the search function to filter and retrieve only the relevant strokes by a specific participant, eliminating the need to process and display all handwritten data when searching for a particular user's contributions.
2Reliability
If the system returns entire minutes for search results, then completeness is maintained, but data retrieval efficiency decreases due to excessive information
Solution Approach 1:
By segmenting handwritten data into individual strokes with associated writer information, the system can retrieve only the specific strokes created by a searched participant. This maintains data reliability for the retrieved portion while dramatically improving productivity by avoiding the need to process and display entire minutes.
Solution Approach 2:
The system extracts and stores writer identification information for each stroke, enabling selective retrieval of only the relevant data. This extraction mechanism ensures that search results contain complete and accurate information about the searched participant's handwriting without including unrelated content from other participants.
3Device complexity
If handwritten data is stored without division, then storage simplicity is maintained, but searching for specific participant's strokes requires processing all data
Solution Approach 1:
The system segments handwritten data into strokes with embedded writer identification, creating a structured format that enables efficient searching. Although this increases data structure complexity compared to undivided storage, it dramatically reduces search time by allowing direct filtering of strokes by participant without processing entire minutes.
Solution Approach 2:
The system performs preliminary action by embedding writer identification information in each stroke during the data input phase. This pre-processing enables rapid searching and retrieval operations later, as the search function can directly query strokes by writer ID without needing to analyze or process the content of all handwritten data first.
Data Source
AI summary
An information processing system includes circuitry. In response to receiving, from a terminal apparatus, a search request for searching minutes using user information as a search key, the minutes including handwritten data having been displayed on a display, the circuitry is to search a memory that stores, in association with user information, a plurality of pieces of handwritten data divided into one or more groups in accordance with a predetermined rule, to obtain a search result including the one or more groups of handwritten data that match the user information. The circuitry is also to transmit the search result including the one or more groups of handwritten data that match the user information to the terminal apparatus.