The goal of high-level event recognition is to automatically detect complex high-level events
in a given video sequence. This is a difficult task especially when videos are captured under …

In this paper we address the challenging problem of complex event recognition by using low-
level events. In this problem, each complex event is captured by a long video in which …

Techniques for recognizing high-level events in consumer videos on the Internet have many
applications. Systems that produced state-of-the-art recognition performance usually contain …

Multivariate Gaussian densities are pervasive in pattern recognition and machine learning.
A central operation that appears in most of these areas is to measure the difference between …

Detecting complex events in videos is intrinsically a multimodal problem since both audio
and visual channels provide important clues. While conventional methods fuse both …

A common approach in content based video information retrieval is to perform automatic
shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of …

This paper addresses the fundamental question--How do humans recognize complex
events in videos? Normally, humans view videos in a sequential manner. We hypothesize …

In this paper, we propose a multi-modal event recognition framework based on the
integration of feature fusion, deep learning, scene classification and decision fusion …

Joint audio-visual patterns often exist in videos and provide strong multi-modal cues for
detecting multimedia events. However, conventional methods generally fuse the visual and …

Detecting multimedia events in web videos is an emerging hot research area in the fields of
multimedia and computer vision. In this paper, we introduce the core methods and …