Cloud-Based Still Image to Moving Video Rendering System
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Solution Overview
Problem
Still images lack entertainment and information, and existing devices often require specific electronic carriers to display moving images or videos, limiting their use and availability.
Innovation Solution
A method and system that store still images and corresponding moving images or videos in cloud storage, extract feature points from the images, match them to determine matching still images, and render the moving images or videos at the position of the original image using a transformation matrix, allowing for automatic generation and display of moving images during photo capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If moving images or videos are stored in specific electronic carriers, then the quality and entertainment value are improved, but the cost and device complexity increase significantly
Solution Approach 1:
The patent uses feature point extraction and matching to create a digital copy relationship between still images and moving images. Instead of storing the actual moving image data, the system extracts feature points from both still and moving images, stores only the feature points and their correspondence in cloud storage, and reconstructs the moving image experience by matching feature points during playback. This copying approach eliminates the need for specific electronic carriers while preserving the entertainment value.
Solution Approach 2:
The patent extracts the essential identifying characteristics (feature points) from moving images and separates them from the original moving image data. By extracting only the feature points and storing them independently in cloud storage alongside still images, the system eliminates the requirement for storing complete moving image files in specific electronic carriers, thereby reducing device complexity while maintaining information accessibility.
2Adaptability or versatility
If moving images are stored in cloud storage with feature points, then the adaptability and accessibility are improved, but the data processing complexity increases
Solution Approach 1:
The patent performs feature point extraction and association with still images in advance, before the actual viewing takes place. By pre-processing the images and storing the extracted feature points along with their correspondence to moving images in cloud storage, the system eliminates the need for complex real-time processing during playback. This preliminary action enables any device with basic image processing capabilities to access and display moving images without requiring complex local processing systems.
3Measurement precision
If feature points are extracted and matched to identify corresponding still images, then the accuracy of image association is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent extracts only the essential feature points from images rather than processing the entire image data. By taking out and storing only the key feature points and their correspondence relationships in cloud storage, the system dramatically reduces the amount of data that needs to be processed during matching operations, thereby reducing processing time while maintaining high matching accuracy through the use of distinctive feature point characteristics.
Data Source
AI summary
The present application discloses a method of presenting moving images or videos corresponding to still images. The method includes: storing a still image and a moving image or video corresponding to the still image into a cloud storage; extracting feature points of the still image stored in the cloud storage, and storing the feature points in the cloud storage in a manner which associates the feature points with the still image; when a device obtains a first still image through scanning, extracting feature points from the first still image, comparing and judging whether the extracted feature points match feature points of each still image stored in the cloud storage to determine a second still image whose feature points match the feature points of the first still image; rendering a moving image or video corresponding to the second still image stored in the cloud storage at the position of the first still image. The present application can facilitate presenting a moving image corresponding to a still image, and increase the information and entertainment provided by a still image.