Electronic Device Bookmarking Media Data Segments
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Solution Overview
Problem
Electronic devices lack an efficient method for selecting and managing reproduction segments of media data, particularly in terms of bookmarking and acquiring associated text information, which hinders user navigation and search functionality.
Innovation Solution
An electronic device with a touch screen, memory, and processor that detects bookmark events, determines bookmark segments, and acquires text information corresponding to voice data, allowing for bookmarking, editing, and displaying of media data segments for easy navigation and search.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If media data is recorded or reproduced without bookmark events, then the media data can be continuously processed, but users cannot easily search or navigate to specific segments of interest
Solution Approach 1:
The system performs preliminary actions by detecting bookmark events during media data recording or reproduction and pre-acquiring text information corresponding to bookmark segments before user search. This allows users to easily navigate to specific segments without real-time processing delays, resolving the contradiction between ease of operation and device complexity.
Solution Approach 2:
Text information serves as an intermediary between the media data and user search queries. When users search for specific content, the pre-acquired text information acts as a mediator that enables quick identification and navigation to relevant segments, improving ease of operation while the automated bookmark detection handles the complexity in the background.
2Loss of information
If text information is acquired for every segment of media data, then search functionality is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by acquiring text information for bookmark segments during the recording or reproduction process itself, rather than waiting for user search requests. This pre-acquisition approach ensures that text information is ready when needed, reducing search time while the automated process handles the computational load in the background.
Solution Approach 2:
The system extracts text information only for segments that have bookmark events, rather than processing every segment of media data. This selective extraction approach maintains search functionality for relevant content while significantly reducing unnecessary processing time and computational resources for segments without bookmarks.
3Ease of operation
If bookmark segments are identified and text information is acquired, then users can easily reproduce specific segments, but the media data processing becomes more complex
Solution Approach 1:
The system performs self-service by automatically detecting bookmark events and acquiring text information without requiring manual user input for each segment. The automated bookmark detection and text acquisition processes handle the complexity internally, allowing users to simply search and reproduce segments without dealing with the underlying processing complexity.
Data Source
AI summary
A method of storing information at data and displaying the stored information and an electronic device thereof are provided. The method includes detecting occurrence of a bookmark event while recording or reproducing media data; determining a bookmark segment in the media data to correspond to the occurrence of the bookmark event; and acquiring text information corresponding to voice information of the bookmark segment.