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dc.contributor.authorSamarakoon, Chaturaen
dc.contributor.authorAmaratunga, Gehanen
dc.contributor.authorStanley-Marbell, Phillipen
dc.date.accessioned2020-07-21T23:31:18Z
dc.date.available2020-07-21T23:31:18Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/308254
dc.description.abstractThere are numerous approximate color transforms reported in the literature that aim to reduce display power consumption by imperceptibly changing the color content of displayed images. To be practical, these techniques need to be content-aware in picking transformation parameters to preserve perceptual quality. This work presents a computationally-efficient method for calculating a parameter lower bound for approximate color transform parameters based on the content to be transformed. We conduct a user study with 62 participants and 6,400 image pair comparisons to derive the proposed solution. We use the user study results to predict this lower bound reliably with a 1.6% mean squared error by using simple image-color-based heuristics. We show that these heuristics have Pearson and Spearman rank correlation coefficients greater than 0.7 (p<0.01) and that our model generalizes beyond the data from the user study. The user study results also show that the color transform is able to achieve up to 50% power saving with most users reporting negligible visual impairment.
dc.description.sponsorshipAlan Turing Institute
dc.rightsAll rights reserved
dc.rights.uri
dc.titleContent-Aware Automated Parameter Tuning for Approximate Color Transformsen
dc.typeConference Object
dc.identifier.doi10.17863/CAM.55344
dcterms.dateAccepted2020-07-14en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-07-14en
dc.contributor.orcidSamarakoon, Chatura [0000-0002-6732-4056]
dc.contributor.orcidAmaratunga, Gehan [0000-0002-8614-2864]
dc.contributor.orcidStanley-Marbell, Phillip [0000-0001-7752-2083]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idAlan Turing Institute (EP/N510129/1)
pubs.conference-name22nd International Conference on Human-Computer Interaction with Mobile Devices and Servicesen
pubs.conference-start-date2020-10-05en
cam.orpheus.counter14*
rioxxterms.freetoread.startdate2023-07-21


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