TY - GEN
T1 - Fast Compressed Domain Copy Detection with Motion Vector Imaging
AU - Yang, Yuanyuan
AU - Zou, Yixiong
AU - Shi, Yemin
AU - Yuan, Qingsheng
AU - Wang, Yaowei
AU - Tian, Yonghong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - With an increasing number of videos uploaded to the Internet, how to fast detect copy videos in compressed domain has been paid greater attention to. Many researchers have tried using information in motion vector to be the feature. However, in these methods motion vectors are used as histogram, which lacks structural information in detail. To address this problem, in this paper we propose a new way of using Motion Vector Imaging. We first extract motion vector from a compressed video, and then project them onto a canvas to generate a MVI which contains detail motion information. Based on these MVIs, a siamese deep neural network is utilized to train on pairs from dataset and one side of the network is applied to extract features. Finally, a cascade system using MVI model and I frames is used to do fast copy detection. Results on public dataset CC-WEB-VIDEO show that MVI can achieve high recall rate and precision rate at a high speed.
AB - With an increasing number of videos uploaded to the Internet, how to fast detect copy videos in compressed domain has been paid greater attention to. Many researchers have tried using information in motion vector to be the feature. However, in these methods motion vectors are used as histogram, which lacks structural information in detail. To address this problem, in this paper we propose a new way of using Motion Vector Imaging. We first extract motion vector from a compressed video, and then project them onto a canvas to generate a MVI which contains detail motion information. Based on these MVIs, a siamese deep neural network is utilized to train on pairs from dataset and one side of the network is applied to extract features. Finally, a cascade system using MVI model and I frames is used to do fast copy detection. Results on public dataset CC-WEB-VIDEO show that MVI can achieve high recall rate and precision rate at a high speed.
KW - Compressed Domain
KW - Copy Detection
KW - MVI
KW - Motion Vector Imaging
UR - https://www.scopus.com/pages/publications/85050073976
U2 - 10.1109/MIPR.2018.00086
DO - 10.1109/MIPR.2018.00086
M3 - 会议稿件
AN - SCOPUS:85050073976
T3 - Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018
SP - 396
EP - 401
BT - Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE Conference on Multimedia Information Processing and Retrieval, MIPR 2018
Y2 - 10 April 2018 through 12 April 2018
ER -