Image Recoloring with Valence-Arousal Emotion Model

被引：8
|
作者：
Kim, Hye-Rin [1 ]
Kang, Henry [2 ]
Lee, In-Kwon [1 ]
机构：
[1] Yonsei Univ, Dept Comp Sci, Seoul 120749, South Korea
[2] Univ Missouri, Dept Math & Comp Sci, St Louis, MO 63121 USA
来源：
COMPUTER GRAPHICS FORUM | 2016年 / 35卷 / 07期
关键词：
Categories and Subject Descriptors (according to ACM CCS); H.3.1 [INFORMATION STORAGE AND RETRIEVAL]: Content Analysis and Indexing—; I.4.8 [IMAGE PROCESSING AND COMPUTER VISION]: Scene Analysis—Color;
D O I：
10.1111/cgf.13018
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
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页码：209 / 216
页数：8
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