Personalized Media Content Creation via Object-Based Grouping
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Solution Overview
Problem
Users face difficulties in efficiently searching and managing media content on electronic devices due to the large volume of stored photos and videos, leading to time-consuming browsing and the need for learning editing applications.
Innovation Solution
An electronic device with a processor that analyzes selected media content, classifies it into groups based on objects, extracts relevant groups from a user profile, and creates personalized media content using predetermined conditions, allowing for efficient management and easy access to preferred content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search through stored media contents, then they can find desired content, but it consumes excessive time and effort
Solution Approach 1:
The system performs preliminary classification of media contents into multiple groups based on objects before the user needs to search. By pre-organizing media contents according to detected objects (people, places, things), the system eliminates the need for users to manually browse through all contents, significantly reducing search time and effort.
Solution Approach 2:
The system introduces an intermediary classification layer between the user and the media contents. Instead of directly searching through raw media files, users interact with object-based groups that serve as intermediaries, making the search process more intuitive and efficient.
2Quantity of substance
If users store large amounts of media contents, then memory capacity is maximized, but it becomes difficult to manage and retrieve specific content
Solution Approach 1:
The system segments the large collection of media contents into multiple object-based groups. By dividing the media library into categories such as people, places, and things based on object detection, the system makes managing and retrieving large volumes of content more manageable and user-friendly.
3Adaptability or versatility
If users manually edit media content to create personalized content, then customized media can be obtained, but it requires learning editing applications
Solution Approach 1:
The system performs automatic media content creation by selecting and combining media contents based on object analysis and user profiles. Instead of requiring users to manually edit media, the system serves itself by automatically generating personalized media content, eliminating the need for users to learn editing applications while still providing adaptability and personalization.
4Reliability
If all media contents are retained in memory, then no content is lost, but device memory becomes inefficiently utilized
Solution Approach 1:
The system extracts and identifies important media contents based on object analysis and user profiles, separating them from less important content. By taking out and prioritizing significant media contents for active management and personalization, the system improves memory utilization efficiency while preserving important content.
Data Source
AI summary
Disclosed is electronic device for providing personalized media content, including a memory configured to store a plurality of media contents, and a processor configured to, when at least some media contents of the plurality of media contents stored in the memory are selected, analyze an object contained in the selected at least some media contents, classify the selected at least some media contents into a plurality of groups, based on the analyzed object, extract at least some of the plurality of groups, based on a user profile, and create new media content from the media contents included in the extracted groups by using a predetermined condition.