Digital video enables manifold ways of multimedia content interaction. Over the last decade,
many proposals for improving and enhancing video content interaction were published …

In this paper, we propose a discriminative video representation for event detection over a
large scale video dataset when only limited hardware resources are available. The focus of …

In this paper, we study the challenging problem of categorizing videos according to high-
level semantics such as the existence of a particular human action or a complex event …

Pooling plays an important role in generating a discriminative video representation. In this
paper, we propose a new semantic pooling approach for challenging event analysis tasks …

Videos contain very rich semantics and are intrinsically multimodal. In this paper, we study
the challenging task of classifying videos according to their high-level semantics such as …

This paper proposes a new video representation for few-example event recognition and
translation. Different from existing representations, which rely on either low-level features, or …

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 …

Recognition of human actions from digital video is a challenging task due to complex
interfering factors in uncontrolled realistic environments. In this paper, we propose a …

Video recommendation has become an essential way of helping people explore the
massive videos and discover the ones that may be of interest to them. In the existing video …

Event detection plays an essential role in video content analysis. In this paper, we present
our approach based on motion relativity and feature selection for video event detection. First …