Image Recoloring with Valence-Arousal Emotion Model

Hye Rin Kim, Henry Kang, In Kwon Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)


We 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.

Original languageEnglish
Pages (from-to)209-216
Number of pages8
JournalComputer Graphics Forum
Issue number7
Publication statusPublished - 2016 Oct 1

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

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