We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a
prominent technique for delivering multimedia information such as still images and videos …

This survey aims at providing multimedia researchers with a state-of-the-art overview of
fusion strategies, which are used for combining multiple modalities in order to accomplish …

A close relationship exists between the advancement of face recognition algorithms and the
availability of face databases varying factors that affect facial appearance in a controlled …

Scene recognition plays an important role in the task of visual information retrieval,
segmentation and image/video understanding. Traditional approaches for scene recognition …

Semantic analysis of multimodal video aims to index segments of interest at a conceptual
level. In reaching this goal, it requires an analysis of several information streams. At some …

Many multimedia applications can benefit from techniques for adapting existing classifiers to
data with different distributions. One example is cross-domain video concept detection which …

This paper introduces a web image search reranking approach that explores multiple
modalities in a graph-based learning scheme. Different from the conventional methods that …

We tackle the problem of finding good architectures for multimodal classification problems.
We propose a novel and generic search space that spans a large number of possible fusion …

While the incipient internet was largely text-based, the modern digital world is becoming
increasingly multi-modal. Here, we examine multi-modal classification where one modality is …