Multiple Exposure Fusion Region Selection via Location Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional multiple exposure methods struggle to synthesize high-quality images when the locally stored picture does not match the currently captured picture in terms of artistic conception or size, leading to suboptimal visual effects.
Innovation Solution
A method and system that utilize a terminal to send a material picture acquisition request with geographic location information to a server, process the received material picture based on the resolution and content of the currently captured picture to determine a fusion region, and perform mixing synthesis to create a mixed frame, allowing for intelligent selection of the fusion region and improved multiple exposure effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional multiple exposure method uses locally stored pictures for synthesis, then the operation is simple, but the matching quality between pictures is poor when artistic conception or size does not match
Solution Approach 1:
The patent introduces a server as an intermediary component between the terminal and the picture library. The server receives picture acquisition requests, searches for matching material pictures based on keywords and location information, and returns suitable pictures for synthesis. This intermediary resolves the contradiction by providing intelligent picture matching without requiring complex local storage and management systems at the terminal.
Solution Approach 2:
The patent adds a new dimension of picture selection by incorporating location information (GPS coordinates) and semantic keywords into the picture matching process. Instead of relying solely on local picture libraries, the system searches a broader online picture database using multiple dimensions (location, keywords, artistic style) to find matching material pictures, thereby improving synthesis quality without proportionally increasing terminal complexity.
2Measurement precision
If the system searches for material pictures using location information and keywords, then the matching accuracy improves, but the data processing complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex data processing tasks of searching, filtering, and matching pictures based on location information and keywords. The terminal only needs to send requests and receive results, keeping terminal complexity low while achieving high matching accuracy through the server's processing capabilities.
Solution Approach 2:
The system performs preliminary actions by pre-processing and indexing material pictures on the server side with their associated location information and keywords. When a user requests a picture, the matching process is accelerated because the server has already organized the data in advance, reducing real-time processing complexity while maintaining high accuracy.
3Manufacturing precision
If the terminal processes material picture based on resolution and content to obtain fusion region, then the fusion quality improves, but the processing time increases
Solution Approach 1:
The patent applies local quality by processing only the relevant fusion region of the material picture rather than the entire image. The system determines specific fusion regions based on content analysis and resolution matching, then applies synthesis operations only to these localized areas. This reduces overall processing time while maintaining high fusion quality in the critical regions.
Solution Approach 2:
The system performs partial action by focusing processing efforts on the essential fusion region rather than processing the entire picture uniformly. By identifying and processing only the necessary portions of the image that contribute to the fusion effect, the system achieves good fusion quality with reduced processing time compared to full-image processing.
Data Source
AI summary
A multiple exposure method is provided. A material picture acquisition request including a search keyword is sent, by a terminal, to a server and a material picture is received in response to the material picture acquisition request. The search keyword includes geographic location information based upon which the material picture is obtained among material pictures associated with corresponding picture associated information. The picture associated information includes picture location information. The material picture is processed by the terminal based on a resolution of a currently captured picture and content of the material picture to obtain a fusion region. Mixing synthesis is performed, by the terminal, on the fusion region and the currently captured picture to obtain a mixed frame.