Automatic detection of complex events in user-generated videos (UGV) is a challenging task due to its new characteristics differing from broadcast video.

Automatic detection of complex events in user-generated videos (UGV) is a challenging task due to its new charac- teristics differing from broadcast video.

This work firstly summarizes the new characteristics of UGV, and then explores how to utilize concept classifiers to recognize complex events in UGV content ...

Automatic detection of complex events in user-generated videos (UGV) is a challenging task due to its new characteristics differing from broadcast video.

Oct 11, 2018 · In this work, we firstly summarize the new characteristics of UGV, and then explore how to utilize concept classifiers to recognize complex ...

Detecting Complex Events in User-Generated Video using Concept Classifiers. Detecting Complex Events in User-Generated Video using Concept Classifiers. BibTeX.

“Detecting complex events in user generated video using concept classifiers”.In CBMI (2012). [61] Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,. Lorenzo ...

In this paper, we decompose the video into several segments and intuitively model the task of complex event detection as a multiple instance learning problem by ...

video dataset is to use it as a testbed for large scale event detection models such as deep convolutional Neutral Network. Therefore, in the following, we ...

Jun 8, 2015 · Finally, the EventNet concept library is used to generate concept based representation of event videos.