TY - GEN
T1 - Analyzing human appearance as a cue for dating images
AU - Salem, Tawfiq
AU - Workman, Scott
AU - Zhai, Menghua
AU - Jacobs, Nathan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/23
Y1 - 2016/5/23
N2 - Given an image, we propose to use the appearance of people in the scene to estimate when the picture was taken. There are a wide variety of cues that can be used to address this problem. Most previous work has focused on low-level image features, such as color and vignetting. Recent work on image dating has used more semantic cues, such as the appearance of automobiles and buildings. We extend this line of research by focusing on human appearance. Our approach, based on a deep convolutional neural network, allows us to more deeply explore the relationship between human appearance and time. We find that clothing, hair styles, and glasses can all be informative features. To support our analysis, we have collected a new dataset containing images of people from many high school yearbooks, covering the years 1912-2014. While not a complete solution to the problem of image dating, our results show that human appearance is strongly related to time and that semantic information can be a useful cue.
AB - Given an image, we propose to use the appearance of people in the scene to estimate when the picture was taken. There are a wide variety of cues that can be used to address this problem. Most previous work has focused on low-level image features, such as color and vignetting. Recent work on image dating has used more semantic cues, such as the appearance of automobiles and buildings. We extend this line of research by focusing on human appearance. Our approach, based on a deep convolutional neural network, allows us to more deeply explore the relationship between human appearance and time. We find that clothing, hair styles, and glasses can all be informative features. To support our analysis, we have collected a new dataset containing images of people from many high school yearbooks, covering the years 1912-2014. While not a complete solution to the problem of image dating, our results show that human appearance is strongly related to time and that semantic information can be a useful cue.
UR - https://www.scopus.com/pages/publications/84977668811
U2 - 10.1109/WACV.2016.7477678
DO - 10.1109/WACV.2016.7477678
M3 - Conference contribution
AN - SCOPUS:84977668811
T3 - 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016
BT - 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Winter Conference on Applications of Computer Vision, WACV 2016
Y2 - 7 March 2016 through 10 March 2016
ER -