Compression Image Containers for Similar Image Storage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image storage techniques fail to leverage logical relationships between images with similar content, leading to inefficient use of storage space and increased costs due to redundant compression of images that share similar information.
Innovation Solution
Images with similar or duplicative information are grouped into compression image containers, allowing for customized compression based on service levels and leveraging AI and heuristics to identify and compress images together, resulting in higher compression efficiency and storage savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional image storage techniques are used to store each image individually, then image accessibility and simplicity are maintained, but storage space efficiency deteriorates due to redundant compression of images with similar content
Solution Approach 1:
The patent merges multiple images with similar content into a single compression image container, where only the differences (residuals) between images are stored rather than compressing each image separately. This combining approach eliminates redundancy across images while maintaining individual image accessibility through the container structure.
Solution Approach 2:
The patent segments the compression process into two stages: first grouping images based on similarity metrics, then applying compression within each group. This segmentation allows the system to handle complexity by processing images in manageable groups rather than individually, improving storage efficiency while controlling system complexity.
2Productivity
If images with similar content are compressed separately using conventional techniques, then implementation simplicity is maintained, but compression efficiency deteriorates due to lack of leverage on logical relationships between images
Solution Approach 1:
The patent performs preliminary grouping of images based on similarity metrics before applying compression. This preliminary action organizes images into logical groups that can then be compressed together, enabling the system to leverage relationships between images and achieve higher compression efficiency without overwhelming complexity in the compression algorithm itself.
Solution Approach 2:
The patent introduces an intermediary grouping layer that mediates between image storage and compression operations. This intermediary structure (the compression image container) enables efficient compression by organizing images into groups based on their logical relationships, thereby improving compression efficiency while managing system complexity through a clear architectural layer.
3Quantity of substance
If trillions of photos are stored individually to maintain full image quality and accessibility, then image quality and accessibility are preserved, but storage costs increase significantly due to vast amounts of redundant data
Solution Approach 1:
The patent combines multiple images with similar content into a single compression image container, storing only the residual differences rather than full images. This merging approach dramatically reduces storage costs by eliminating redundant data across trillions of photos while preserving the ability to access and reconstruct individual images when needed.
Solution Approach 2:
The patent discards redundant image data by storing only the differences between images in the compression container, while the ability to recover original images is maintained through the container structure that stores reference information and allows reconstruction of individual images from the group.
Data Source
AI summary
Techniques are provided for compressing images using compression image containers. Many user devices, such as smart phones, incorporate cameras that be utilized by users to capture photos. The photos can be either locally stored on a user device or uploaded to cloud storage. Managing the storage of a vast amount of photos is cumbersome and expensive where trillions of photos could be stored within the cloud storage. The techniques provided herein are capable of compressing images using compression image containers in order to significantly reduce storage consumed when storing images with similar or duplicate image information. Similar images are compressed together within the same compression image container for improved compression and reduced storage.