Fast Image Sequencing Method Using EXIF Data for Automated Video Enrichment
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Solution Overview
Problem
Current image editing processes for creating videos from travel photos are time-consuming and cumbersome, especially when users need to manually search and integrate external images, due to the limitations of small touchscreen interfaces and the complexity of managing image files.
Innovation Solution
A fast image sequencing method that utilizes EXIF information from user devices to search external databases for related images, automatically selecting and integrating Unmanned Aerial Vehicle (UAV) images based on positioning data, allowing users to enrich their videos without manually handling graphic content, thus reducing the time and effort required for image editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually search for external images and edit images from user's device and external devices, then the video content can be enriched, but the time-consuming process increases and operational complexity increases
Solution Approach 1:
The system automatically searches for external images based on EXIF information from captured images, automatically selects and sequences images without requiring manual user intervention. The server performs the image search, selection, and sequencing operations autonomously, returning enriched image sequences to the user's device for video compilation.
Solution Approach 2:
The system pre-processes captured images by extracting EXIF information (positioning data, time information, etc.) before the actual video editing process. This preliminary extraction and preparation of image metadata enables automatic image selection and sequencing without requiring users to manually handle or review individual images.
2Adaptability or versatility
If users manually search for external images through the Internet, then the video content can be enriched, but the operational complexity increases due to small touchscreen limitations
Solution Approach 1:
The server automatically performs image search and selection operations based on EXIF information from captured images. Users simply need to provide the captured images with positioning and time data, and the system autonomously handles the complex tasks of searching external databases, selecting relevant images, and sequencing them, eliminating the need for manual touchscreen operations.
Solution Approach 2:
The server acts as an intermediary between the user's device and external image databases. Instead of users directly interacting with complex search interfaces on small screens, the server mediates by receiving EXIF information, performing automated searches, and returning pre-selected images, thereby simplifying the user interface and operation.
3Extent of automation
If the system transmits captured image information and EXIF data to external servers, then automatic image search and selection can be performed, but the amount of information transmission increases
Solution Approach 1:
The system extracts only the necessary EXIF information (positioning data, time information, image metadata) from captured images and transmits only this condensed data to external servers for processing. The actual image files remain on the user's device, and only the essential metadata is transmitted for automatic search and selection operations, minimizing information transmission volume.
Solution Approach 2:
Instead of transmitting the full captured images to external servers for processing, the system creates and transmits a copy of the EXIF information (metadata) as a representation of the images. This allows the server to search and select images based on the copied metadata without transferring the actual image data, reducing transmission requirements.
4Ease of manufacture
If users manually sequence images according to time, sites, or file names, then the images can be organized, but the process becomes troublesome and time-consuming
Solution Approach 1:
The server automatically sequences images based on EXIF information (positioning data and time information) without requiring users to manually sort or organize images. The system autonomously processes the sequencing task by receiving captured images, extracting metadata, searching external databases, and returning pre-sequenced image sequences ready for video compilation.
Solution Approach 2:
The system performs preliminary sequencing organization by automatically arranging images according to their EXIF time and position data before presenting them to users. This pre-organization eliminates the need for users to manually sequence images, as the server has already performed the sorting and sequencing operations in advance.
Data Source
AI summary
The present invention proposes a fast image sequencing method, which comprises steps: defining a motion path merely via picking up a plurality of pieces of captured image information and the sequence of thereof; searching a database for the exemplary images within a specified distance from a first piece of captured image positioning information in the motion path; picking up a next piece of captured image positioning information and searching for exemplary images until none next piece of captured image positioning information is found; sending back the selected exemplary images to a user's device and presenting the exemplary images in a periphery of the sequence of the captured images. Thereby, the user can view the images and interpolate the exemplary images into the sequence of the captured images. The present invention can search for images and send back the selected images for edition merely using the capture image information.