User Terminal Gaze-Based Compression for Attention-Aware Data Transfer
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Solution Overview
Problem
Existing image and audio compression technologies do not adapt to user needs by varying compression detail based on line-of-sight and biological information, leading to inefficient data handling due to limited storage and transfer capacity.
Innovation Solution
A user terminal and method that measure line-of-sight and biological information to determine the importance of processing data, adjusting compression detail accordingly, using technologies like MPEG for image and audio data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image and audio data are compressed to reduce data volume, then storage and transfer requirements are reduced, but compression detail and quality may be degraded
Solution Approach 1:
The patent applies different compression ratios to different regions of the image based on line-of-sight information. The image is divided into a first region (higher compression ratio) and a second region (lower compression ratio), where the second region corresponds to the area the user is looking at. This allows the system to reduce overall data volume while maintaining high quality in the visually important region.
Solution Approach 2:
The compression detail is dynamically adjusted based on real-time line-of-sight measurement. The system continuously monitors where the user is looking and adapts the compression ratio accordingly, making the compression strategy dynamic rather than static. This ensures that quality is maintained in the currently viewed region while allowing higher compression in other areas.
2Manufacturing precision
If compression detail is increased to maintain quality, then image and audio quality is improved, but data storage and transfer capacity requirements increase
Solution Approach 1:
Instead of applying uniform high compression detail across the entire image, the system applies high compression detail only to the second region (where the user is looking) and uses higher compression ratios in the first region. This local differentiation maintains quality where needed while reducing overall data volume.
Solution Approach 2:
The system applies compression detail selectively rather than uniformly. By focusing computational resources and bandwidth on preserving quality only in the visually relevant second region, the system achieves acceptable overall quality with reduced data volume, avoiding the excessive compression detail that would be required if the entire image were treated equally.
3Device complexity
If uniform compression is applied to all image regions, then processing is simplified, but quality in visually important regions may be degraded
Solution Approach 1:
The patent divides the image into multiple regions with different compression characteristics. The first region uses a higher compression ratio while the second region (corresponding to line-of-sight area) uses a lower compression ratio. This regional differentiation ensures that quality is maintained in visually important areas without requiring complex processing across the entire image.
Solution Approach 2:
The image is segmented into distinct regions based on line-of-sight information. By dividing the image into a first region and a second region with different compression treatments, the system simplifies the decision-making process compared to pixel-level analysis while still achieving region-specific quality optimization.
4Productivity
If compression detail is reduced to decrease data volume, then storage and transfer efficiency is improved, but importance of important data may be lost
Solution Approach 1:
The system applies different compression ratios to different regions, with the second region (line-of-sight area) receiving lower compression and the first region receiving higher compression. This ensures that information in important regions is preserved while allowing greater compression in less important areas, maintaining compression efficiency without losing critical information.
Solution Approach 2:
The system uses line-of-sight measurement as feedback to determine where to apply different compression ratios. By continuously monitoring user attention and adjusting compression accordingly, the system ensures that important data (in the line-of-sight region) is preserved while maintaining overall compression efficiency.
Data Source
AI summary
A user terminal includes: an acquisition unit configured to acquire processing target data that includes image data; a measurement unit configured to measure, as biological information, line-of-sight information on a user on the user and other biological information other than the line-of-sight information; a calculation unit configured to calculates importance of the processing target data based on the line-of-sight information and the other biological information; a determination unit configured to determine a compression detail of the processing target data in accordance with the calculated importance; and a compression unit configured to compress the processing target data in accordance with the compression detail that is determined by the determination unit.