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 …

Zero-shot complex event detection has been an emerging task in co** with the scarcity of
labeled training videos in practice. Aiming to progress beyond the state-of-the-art zero-shot …

Research on event-based processing and analysis of media is receiving an increasing
attention from the scientific community due to its relevance for an abundance of applications …

This paper presents a novel Attribute-augmented Semantic Hierarchy (A2 SH) and
demonstrates its effectiveness in bridging both the semantic and intention gaps in Content …

Complex event detection is a retrieval task with the goal of finding videos of a particular
event in a large-scale unconstrained Internet video archive, given example videos and text …

We focus on detecting complex events in unconstrained Internet videos. While most existing
works rely on the abundance of labeled training data, we consider a more difficult zero-shot …

While content-based landmark image search has recently received a lot of attention and
became a very active domain, it still remains a challenging problem. Among the various …

This paper aims for event recognition when video examples are scarce or even completely
absent. The key in such a challenging setting is a semantic video representation. Rather …

We consider automated detection of events in video without the use of any visual training
examples. A common approach is to represent videos as classification scores obtained from …

Complex Event Detection (CED) in video streams involves numerous challenges such as
object detection, tracking, spatio–temporal relationship identification, and event matching …