Memory Video Generation Through Character-Based Photo Retrieval
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Solution Overview
Problem
Existing methods for generating picture collections or videos based on themes in intelligent electronic devices fail to consider user preferences, leading to a poor user experience as users cannot view pictures or videos of characters they like.
Innovation Solution
A method for generating memory videos that allows users to actively select characters of interest through interactive display interfaces, performing feature extraction and searching for matching pictures to create personalized memory videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system automatically generates picture collections or videos based on themes without user input, then the generation process is simple and fast, but the user experience deteriorates because users cannot view pictures or videos of specific characters they are interested in
Solution Approach 1:
The system performs preliminary action by pre-processing and analyzing pictures to extract character information and build an index database before user queries. This allows the system to quickly retrieve and generate videos of specific characters when users select them, without requiring complex real-time processing during user interaction.
Solution Approach 2:
The system introduces an intermediary character selection interface that mediates between user intent and the video generation system. Users can select specific characters they are interested in, and this selection serves as an intermediary parameter that guides the automated video generation process to produce personalized results.
2Ease of operation
If the system provides detailed character selection and filtering options for users, then user experience improves, but the system complexity increases
Solution Approach 1:
The system segments the video generation process into distinct modules: character detection module, character selection interface module, and video generation module. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while providing detailed character selection capabilities to users.
Solution Approach 2:
The system implements self-service by automatically detecting and extracting character information from pictures, and automatically generating videos based on user selections. This reduces the need for complex manual configuration and simplifies the user interface while maintaining detailed functionality.
3Manufacturing precision
If the system processes and analyzes multiple pictures to generate personalized videos, then the personalization quality improves, but the processing time increases
Solution Approach 1:
The system performs preliminary action by pre-processing pictures to extract and store character features in an index database before user queries. This advance preparation enables quick retrieval and matching when users select characters, reducing processing time during actual video generation while maintaining high personalization quality.
Solution Approach 2:
The system applies local quality by focusing processing resources on the specific character(s) selected by the user rather than uniformly processing all pictures. This targeted approach improves personalization quality for the selected character while reducing overall processing time by excluding irrelevant pictures from the generation process.
Data Source
AI summary
This application relates to the field of picture processing, and provides a method and an apparatus for generating a memory video, and an electronic device. Through a first operation of a user on a first picture, the electronic device displays a second display interface including a memory entry area, and through a second operation of the user on the memory entry area, the electronic device searches for pictures matching at least one character of the first picture, to finally generate a first memory video dedicated to the at least one character.