Show simple item record

dc.contributor.authorKim, Hye-Rinen_US
dc.contributor.authorKang, Henryen_US
dc.contributor.authorLee, In-Kwonen_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:19:49Z
dc.date.available2016-10-11T05:19:49Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13018
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13018
dc.description.abstractWe introduce an affective image recoloring method for changing the overall mood in the image in a numerically measurable way. Given a semantically segmented source image and a target emotion, our system finds reference image segments from the collection of images that have been tagged via crowdsourcing with numerically measured emotion labels. We then recolorize the source segments using colors from the selected target segments while preserving the gradient of the source image to generate a seamless and natural result. User study confirms the effectiveness of our method in accomplishing the stated goal of altering the mood of the image to match the target emotion level.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.3.1 [INFORMATION STORAGE AND RETRIEVAL]
dc.subjectContent Analysis and Indexing
dc.subjectI.4.8 [IMAGE PROCESSING AND COMPUTER VISION]
dc.subjectScene Analysis
dc.subjectColor
dc.titleImage Recoloring with Valence-Arousal Emotion Modelen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersImage Processing
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13018
dc.identifier.pages209-216


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record