Server Image Compositing Service for Client Device Optimization
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Solution Overview
Problem
Existing methods for providing images across different devices are labor-intensive, resource-consuming, or computationally expensive, as they require manual composition or heavy processing on client devices to adapt images for varying resolutions and formats.
Innovation Solution
A server-based image processing service composites base images into resultant images based on purpose information, encoding image identifiers for querying, and caching these images on a content delivery network, allowing client devices to retrieve optimized images without needing to perform extensive processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual composition of images is performed for different devices, then image quality and device-specific optimization are improved, but labor and resource consumption increase
Solution Approach 1:
The patent pre-composites images on the server side with multiple possible title overlays and configurations before distribution. This preliminary action eliminates the need for manual image composition for each device, maintaining high image quality while dramatically reducing labor requirements. The server performs the composition work once, and clients receive ready-to-use images.
Solution Approach 2:
The patent creates multiple copies of base images with different title compositions and distributes them to clients. Each client receives appropriate image copies tailored to their device type without requiring manual composition. This copying approach maintains manufacturing precision while improving productivity by automating the distribution process.
2Adaptability or versatility
If client devices composite images locally, then image customization for different devices is achieved, but computational load and processing time increase
Solution Approach 1:
The patent extracts the computationally intensive image compositing function from client devices and relocates it to the server. The server performs all image composition and customization, then distributes the finished images to clients. This extraction eliminates the computational burden on mobile devices while maintaining device-specific customization capabilities.
Solution Approach 2:
The patent introduces a server-based image processing service as an intermediary between the image source and client devices. This intermediary handles all image composition, resizing, and formatting, allowing clients to receive optimized images without performing local compositing. The intermediary resolves the contradiction by centralizing computational resources.
3Adaptability or versatility
If multiple image formats and resolutions are maintained separately, then device compatibility is improved, but storage and management complexity increase
Solution Approach 1:
The patent creates universal image files that contain multiple title compositions and configurations within a single file. Each image file is designed to work across multiple device types and resolutions, eliminating the need to maintain separate image files for each device. This multi-functionality approach improves device compatibility while reducing management complexity.
Solution Approach 2:
The patent merges multiple image variations (different titles, positions, and configurations) into single composite image files. Instead of maintaining separate files for each configuration, the server combines them into unified images that can be distributed to all clients. This merging reduces storage requirements and simplifies image management while maintaining compatibility across devices.
Data Source
AI summary
The described technology is directed towards an image providing service, including an image processing service that composites a base image into a resultant image, e.g., by resizing an image, overlaying text and so forth based upon a purpose for that image and/or a client device class; other parameters such as design information, protection and so forth also may be specified. When a client requests an image including by specifying a purpose and size in a request to an endpoint (e.g., URL) for an image, the image processing service locates or composites a resultant image corresponding to the request, and returns the resultant image or a modified (e.g., resized) resultant image in response to the request. Clients thus obtain images based upon a desired purpose without having to do client-side image processing including image compositing.