Viewport-Based Metadata Estimation for Image Processing Efficiency
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Solution Overview
Problem
Processing per frame metadata in image processing algorithms consumes significant resources and produces sub-par results.
Innovation Solution
Subdivide metadata into metadata subdivisions, determine a viewport based on head pose and eye tracking information, and generate metadata estimations using estimation algorithms, followed by image processing based on these estimations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per frame metadata is processed using traditional methods, then complete metadata information is available for image processing, but resource consumption increases significantly and processing efficiency decreases
Solution Approach 1:
The patent divides the image frame into multiple tiles and processes metadata at the tile level rather than frame level. This segmentation allows selective processing of only relevant metadata portions, reducing overall processing load while maintaining necessary information quality for image processing tasks.
Solution Approach 2:
The patent applies different processing quality levels to different regions of the image based on their importance. High-priority regions receive full metadata processing while lower-priority regions use estimated or simplified metadata, optimizing resource allocation across the frame.
2Reliability
If per frame metadata is processed using traditional methods, then comprehensive image processing is achieved, but resource consumption increases significantly
Solution Approach 1:
The patent performs partial metadata processing by focusing computational resources on critical image regions that require accurate metadata, while using estimation or skipped processing for less critical regions. This partial action approach maintains image processing reliability for important areas while reducing overall resource consumption.
3Manufacturing precision
If metadata is processed in full detail, then accurate image processing results are obtained, but processing time increases
Solution Approach 1:
By segmenting metadata processing into tile-level operations, the patent enables parallel processing of different image regions. This segmentation reduces sequential processing time while maintaining accuracy requirements for each segment, thereby reducing overall processing time without sacrificing image processing accuracy.
Data Source
AI summary
In one implementation, a method is performed for generating metadata estimations based on metadata subdivisions. The method includes: obtaining an input image; obtaining metadata associated with the input image; subdividing the metadata into a plurality of metadata subdivisions; determining a viewport relative to the input image based on at least one of head pose information and eye tracking information; generating one or more metadata estimations by performing an estimation algorithm on at least a portion of the plurality of metadata subdivisions based on the viewport; and generating an output image by performing an image processing algorithm on the input image based on the one or more metadata estimations.