Image Compression Using Position and Orientation Metadata
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Solution Overview
Problem
There is a need for an efficient method to compress images generated by image capturing devices, such as cameras and mobile phones, while minimizing storage usage, by utilizing position and orientation data to identify similar images and compress them accordingly.
Innovation Solution
The method involves selecting previously generated images with similar position and orientation data, comparing them with new images, and compressing the new images using the similar ones if the difference is below a threshold, thereby storing only references or portions of the images, rather than the entire images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional image compression is used, then storage capacity is improved, but image quality and detail preservation deteriorate
Solution Approach 1:
The patent uses position and orientation data to identify and copy reference images from previously captured frames. Instead of storing compressed versions of all images, the system stores references to similar images found in the video sequence, thereby preserving image quality while reducing storage requirements through intelligent copying of relevant image data.
2Quantity of substance
If image compression is applied to reduce storage usage, then storage efficiency is improved, but image retrieval and processing speed deteriorate
Solution Approach 1:
The patent performs preliminary actions by extracting and storing position and orientation metadata from video frames before compression. This pre-processing allows the system to quickly identify and retrieve relevant reference images based on spatial and temporal proximity, significantly accelerating image retrieval speed while maintaining storage efficiency through selective compression.
Solution Approach 2:
The patent introduces position and orientation data as an intermediary element that mediates between storage efficiency and retrieval speed. This metadata acts as an index that enables rapid identification of relevant images without requiring full image comparison, thereby improving retrieval speed while maintaining efficient storage through selective reference-based compression.
3Productivity
If position and orientation data is used to select similar images for compression, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The patent changes the parameters used for image selection from traditional pixel-based similarity metrics to position and orientation data. This parameter transformation simplifies the comparison process by using readily available metadata from video frames, thereby improving compression efficiency while minimizing the increase in processing complexity through the use of simple geometric calculations.
Data Source
AI summary
An apparatus, computer readable medium, and method of compressing images generated on an image generating device, the method including responsive to a generated image and position and orientation data associated with an image generating device which generated the image, selecting a previously generated image having a similar position and a similar orientation as the generated image; and if a comparison between the selected previously generated image and the generated image indicates the difference between one of the previously generated images and the generated image is less than a threshold difference, then compressing the generated image using the previously generated image. The method may include generating the generated image from light incident to the image generating device, and generating the position and orientation associated with the image generating device.