TY - GEN
T1 - RSVP
T2 - 25th ACM International Conference on Multimedia, MM 2017
AU - Yu, Han
AU - Ren, Guanghui
AU - Qian, Ruihe
AU - Sun, Yao
AU - Wang, Changhu
AU - Lu, Hanqing
AU - Liu, Si
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/10/23
Y1 - 2017/10/23
N2 - In this demo, we present a real-time surveillance video parsing (RSVP) system to parse surveillance videos. Surveillance video parsing, which aims to segment the video frames into several labels, e.g., face, pants, left-legs, has wide applications, especially in security filed. However, it is very tedious and time-consuming to annotate all the frames in a video. We design a RSVP system to parse the surveillance videos in real-time. The RSVP system requires only one labeled frame in training stage. The RSVP system jointly considers the segmentation of preceding frames when parsing one particular frame within the video. The RSVP system is proved to be effective and efficient in real applications.
AB - In this demo, we present a real-time surveillance video parsing (RSVP) system to parse surveillance videos. Surveillance video parsing, which aims to segment the video frames into several labels, e.g., face, pants, left-legs, has wide applications, especially in security filed. However, it is very tedious and time-consuming to annotate all the frames in a video. We design a RSVP system to parse the surveillance videos in real-time. The RSVP system requires only one labeled frame in training stage. The RSVP system jointly considers the segmentation of preceding frames when parsing one particular frame within the video. The RSVP system is proved to be effective and efficient in real applications.
KW - Deep learning
KW - Human parsing
KW - Surveillance video parsing system
UR - https://www.scopus.com/pages/publications/85035240273
U2 - 10.1145/3123266.3127928
DO - 10.1145/3123266.3127928
M3 - 会议稿件
AN - SCOPUS:85035240273
T3 - MM 2017 - Proceedings of the 2017 ACM Multimedia Conference
SP - 1257
EP - 1258
BT - MM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PB - Association for Computing Machinery, Inc
Y2 - 23 October 2017 through 27 October 2017
ER -