TY - GEN
T1 - Color photo makeover via crowd sourcing and recoloring
AU - Cheng, Wengang
AU - Jiang, Ruru
AU - Chen, Chang Wen
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/10/13
Y1 - 2015/10/13
N2 - It is not always easy for amateur photographers to capture photos with desired colors even on a classic hot spot as the appearance of color photo dependent on many factors. This paper proposes a novel approach to recolor given photos via a crowdsourcing based makeover scheme. When a user input a photo to be recolored, the proposed system will first conduct favorite exemplars suggestion from the images hosted by the social media sites, by jointly lever-Aging contextual and visual information associated with the images. The recommended exemplars shall reveal the scene and context de-pendent color compositions and provide users with diverse possible color styles. Then, a novel superpixel-based recoloring scheme, in-corporating color statistics, texture characteristics and spatial con-straints into soft matching, is applied to generate new photos of de-sired color. Experiments and a user study demonstrate that the pro-posed color photo makeover is able to achieve robust recoloring results for various outdoor photos.
AB - It is not always easy for amateur photographers to capture photos with desired colors even on a classic hot spot as the appearance of color photo dependent on many factors. This paper proposes a novel approach to recolor given photos via a crowdsourcing based makeover scheme. When a user input a photo to be recolored, the proposed system will first conduct favorite exemplars suggestion from the images hosted by the social media sites, by jointly lever-Aging contextual and visual information associated with the images. The recommended exemplars shall reveal the scene and context de-pendent color compositions and provide users with diverse possible color styles. Then, a novel superpixel-based recoloring scheme, in-corporating color statistics, texture characteristics and spatial con-straints into soft matching, is applied to generate new photos of de-sired color. Experiments and a user study demonstrate that the pro-posed color photo makeover is able to achieve robust recoloring results for various outdoor photos.
KW - Contexts
KW - Image recoloring
KW - Image recommendation
KW - Social media
UR - https://www.scopus.com/pages/publications/84962799677
U2 - 10.1145/2733373.2806370
DO - 10.1145/2733373.2806370
M3 - Conference contribution
AN - SCOPUS:84962799677
T3 - MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
SP - 943
EP - 946
BT - MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PB - Association for Computing Machinery, Inc
T2 - 23rd ACM International Conference on Multimedia, MM 2015
Y2 - 26 October 2015 through 30 October 2015
ER -