Real-Time Image Overlay Service for Lag Reduction
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Solution Overview
Problem
Conventional content delivery systems face resource-intensive challenges when matching images from client devices with large databases, resulting in significant lag times, especially when analyzing images with many potential matches.
Innovation Solution
A computer-implemented method that uses detection and recognition components to analyze images in real-time, comparing them against an image database to identify objects of interest and deliver associated content, which can be overlaid on the image in real-time, using an overlay service that retrieves and renders content in interactive formats such as boxes, buttons, or 3D structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the content delivery system attempts to match the uploaded image with all images stored in its image database, then the system can deliver content related to the uploaded image, but the approach becomes very resource intensive and provides significant lag time
Solution Approach 1:
The patent segments the image matching process into multiple stages: first extracting features from the uploaded image, then comparing these features against a database of image features rather than performing full image matching against all stored images. This segmentation reduces the computational burden while maintaining matching accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-processing and storing features from images in the database before they are needed for matching. When an image is uploaded, the system extracts features and immediately compares them against pre-computed database features, avoiding the need to process all database images in real-time.
2Adaptability or versatility
If the content delivery system analyzes a large set of images in the image database, then the system can provide comprehensive content matching, but the CPU usage increases significantly
Solution Approach 1:
The patent extracts only the essential features from images (such as color histograms, edge detections, or other distinctive characteristics) and stores these extracted features in the database. When matching occurs, the system compares extracted features rather than analyzing complete images, significantly reducing CPU usage while maintaining matching comprehensiveness.
Solution Approach 2:
Instead of storing and processing actual image data, the system creates and stores simplified copies in the form of feature vectors or feature descriptors. These feature copies capture the essential characteristics needed for matching without requiring the computational resources needed for full image analysis.
Data Source
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AI summary
Techniques for augmenting an image of an object captured and displayed in real time with associated content are disclosed. In one embodiment, the method for augmenting the image includes receiving information defining a sampled frame of a video being captured by an electronic device in substantially real time, determining information representative of an object captured in the sampled frame based on the received information, causing the determined information to match stored information defining a plurality of items to locate an item matched to the captured object, retrieving content associated with the matched item, and providing the retrieved content for display with the captured image on the electronic device. The retrieved content may be rendered in an overlay element that overlays the captured image displayed on the electronic device. The rendered content is configured to enable a user to interact with the content.