Image Storage Service Transcoding with Adaptive Compression
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Solution Overview
Problem
The increasing volume of image data stored in server storage spaces due to the rise in users of image storage services poses a challenge in efficiently managing and providing user image data, leading to a need for effective storage space management.
Innovation Solution
A method for providing an image storage service that involves selecting image data in a first format, determining an initial compression parameter, transcoding the image data into a second format based on the initial parameter, adjusting the compression parameter to achieve desired image quality, and storing the final image data in the second format, thereby optimizing storage space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data is stored in original format without compression, then image quality is preserved, but storage space consumption increases
Solution Approach 1:
The patent applies parameter changes by adjusting compression parameters during transcoding to achieve optimal balance between image quality and storage space. The system dynamically modifies compression ratios, quality factors, and encoding parameters to transform image data from one format to another while controlling file size growth.
Solution Approach 2:
The patent uses copying by creating transcoded versions of image data in different formats. Instead of storing only original images, the system generates and stores compressed copies in alternative formats (e.g., converting JPEG to WebP or AVIF), allowing space-efficient storage while maintaining quality through intelligent parameter selection.
2Quantity of substance
If compression parameter is increased to reduce file size, then storage space efficiency improves, but image quality deteriorates
Solution Approach 1:
The patent implements feedback mechanisms by evaluating image quality metrics after transcoding and adjusting compression parameters accordingly. The system monitors quality degradation and uses this feedback to optimize subsequent transcoding operations, ensuring that compression levels do not exceed acceptable quality thresholds.
Solution Approach 2:
The patent applies dynamics by making compression parameters adaptive rather than static. The system dynamically adjusts compression ratios based on image characteristics, content complexity, and quality requirements, allowing optimal compression for each image while maintaining overall quality standards across the storage system.
3Quantity of substance
If transcoding is performed to convert image format, then storage space optimization is achieved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-transcoding images to optimized formats during upload or idle periods, so that space-efficient versions are already prepared when needed. The system performs format conversion in advance, reducing the processing time required at the moment of storage or retrieval.
Solution Approach 2:
The patent uses periodic action by scheduling transcoding operations during off-peak hours or in batches rather than processing every image immediately. The system periodically converts images from one format to another, spreading the processing load over time to minimize impact on user experience while achieving long-term storage optimization.
Data Source
AI summary
Disclosed herein are methods of providing an image storage service, computer-readable recording mediums, and/or computing devices. The method of providing the image storage service includes selecting image data in a first format, determining an initial compression parameter for converting the selected image data in the first format into a second format, obtaining primary image data in the second format by transcoding the selected image data in the first format based on the initial compression parameter, searching for a desired compression parameter based on whether image quality of the primary image data satisfies a criterion, obtaining final image data in the second format by transcoding the selected image data in the first format based on the desired compression parameter, and storing final image data in the second format in the memory.