Abstract:
Psychometric scaling quantifies perceptual experiences to understand the relationship between external stimulus, internal representation, and response.
This Image Processing project proposes a probabilistic framework to combine rating and pairwise comparison experiments.
This method can be used to merge subjective datasets and conduct experiments with both measurements.
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We analyze and compare the time and accuracy of both types of experimental protocols in simulations and experiments with benchmark and real-world image quality assessment datasets, demonstrating the need for scaling and the benefits of each protocol and mixing. Our findings apply to any subjective quality-of-experience task.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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