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 …

We aim to detect complex events in long Internet videos that may last for hours. A major
challenge in this setting is that only a few shots in a long video are relevant to the event of …

Late fusion addresses the problem of combining the prediction scores of multiple classifiers,
in which each score is predicted by a classifier trained with a specific feature. However, the …

We present a system for multimedia event detection. The developed system characterizes
complex multimedia events based on a large array of multimodal features, and classifies …

In this article, we propose a novel and highly practical score-level fusion approach called
dynamic belief fusion (DBF) that directly integrates inference scores of individual detections …

A novel approach for the fusion of heterogeneous object detection methods is proposed. In
order to effectively integrate the outputs of multiple detectors, the level of ambiguity in each …

Complex event detection on unconstrained Internet videos has seen much progress in
recent years. However, state-of-the-art performance degrades dramatically when the …

Slowdown based on dynamic voltage scaling (DVS) provides the ability to perform an
energy-delay tradeoff in the system. Nonpreemptive scheduling becomes an integral part of …

Attributes are mid-level semantic properties of objects. Recent research has shown that
visual attributes can benefit many typical learning problems in computer vision community …

We address the challenging problem of utilizing related exemplars for complex event
detection while multiple features are available. Related exemplars share certain positive …