supported by the National High Technology Development863 Program of China(No.2011AA01A107);the Zhejiang Provincial Technical Plan Project(No.2011C13008,No.2013C01113);Defense Industrial Technology Development Program(No.A3920110002,No.202012A001)
This paper is concerned with the task of automatically summarizing videos, which is important for many video-related applications. Examples include video retrieval, accessing and categorization, et al. Our approach su...
supported by the National Basic Research 973 Program of China under Grant No. 2011CB302205;the National Natural Science Foundation of China under Grant Nos. 61173058 and 61272228;the National High Technology Research and Development 863 Program of China under Grant Nos. 2012AA011801 and 2012AA02A608;funded by Tsinghua National Laboratory for Information Science and Technology (TNList) Cross-Discipline Foundation
With the rapid progress of the network and mobile techniques, mobile devices such as mobile phones and portable devices, have become one of the most important parts in common life. Efficient techniques for watching, n...
provided by the National High Technology Research and Development Program of China (No.2008AA062202)
In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets...
Supported by National Natural Science Foundation of P. R. China (60121302)the National High Technology Research and Development Program of P. R. China (2002AA142100)
This paper addresses the problem of detecting objectionable videos, which has never been carefully studied before. Our method can be efficiently used to filter objectionable videos on Internet. One tensor based key-fr...