TY - GEN
T1 - A mixed-initiative interface for animating static pictures
AU - Willett, Nora S.
AU - Kazi, Rubaiat Habib
AU - Chen, Michael
AU - Fitzmaurice, George
AU - Finkelstein, Adam
AU - Grossman, Tovi
N1 - Publisher Copyright:
Copyright © 2018 Association of Computing Machinery.
PY - 2018/10/11
Y1 - 2018/10/11
N2 - We present an interactive tool to animate the visual elements of a static picture, based on simple sketch-based markup. While animated images enhance websites, infographics, logos, e-books, and social media, creating such animations from still pictures is difficult for novices and tedious for experts. Creating automatic tools is challenging due to ambiguities in object segmentation, relative depth ordering, and non-existent temporal information. With a few user drawn scribbles as input, our mixed initiative creative interface extracts repetitive texture elements in an image, and supports animating them. Our system also facilitates the creation of multiple layers to enhance depth cues in the animation. Finally, after analyzing the artwork during segmentation, several animation processes automatically generate kinetic textures [27] that are spatio-temporally coherent with the source image. Our results, as well as feedback from our user evaluation, suggest that our system effectively allows illustrators and animators to add life to still images in a broad range of visual styles.
AB - We present an interactive tool to animate the visual elements of a static picture, based on simple sketch-based markup. While animated images enhance websites, infographics, logos, e-books, and social media, creating such animations from still pictures is difficult for novices and tedious for experts. Creating automatic tools is challenging due to ambiguities in object segmentation, relative depth ordering, and non-existent temporal information. With a few user drawn scribbles as input, our mixed initiative creative interface extracts repetitive texture elements in an image, and supports animating them. Our system also facilitates the creation of multiple layers to enhance depth cues in the animation. Finally, after analyzing the artwork during segmentation, several animation processes automatically generate kinetic textures [27] that are spatio-temporally coherent with the source image. Our results, as well as feedback from our user evaluation, suggest that our system effectively allows illustrators and animators to add life to still images in a broad range of visual styles.
KW - Animation
KW - Dynamics
KW - Kinetic textures
KW - Pictures
UR - http://www.scopus.com/inward/record.url?scp=85056821657&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056821657&partnerID=8YFLogxK
U2 - 10.1145/3242587.3242612
DO - 10.1145/3242587.3242612
M3 - Conference contribution
AN - SCOPUS:85056821657
T3 - UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
SP - 649
EP - 661
BT - UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
T2 - 31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018
Y2 - 14 October 2018 through 17 October 2018
ER -