With the advent of digital cameras, the number of digital images is on the increase. As a
result, image collection summarization systems are proposed to provide users with a …

This paper proposes a semantic content analysis framework for reliable video event
detection. In this work, we target to improve the concept detection results by feeding the …

Multimedia semantic concept detection is an emerging research area in recent years. One of
the prominent challenges in multimedia concept detection is data imbalance. In this study, a …

We propose a hint-information based object identification system for video to significantly
improve the object recognition accuracy of the conventional object identification system. To …

A multimedia semantic retrieval system based on hidden coherent feature groups (HCFGs)
can support multimedia semantic retrieval on mobile applications. The system can capture …

Multimedia concept detection is a challenging topic due to the well-known class imbalance
issue, where the data instances are distributed unevenly across different classes. This …

The size of internet image collections is increasing drastically. As a result, new techniques
are required to facilitate users in browsing, navigation, and summarization of these large …

The rapid advances in technologies make the explosive growth of multimedia data possible
and available to the public. Multimedia data can be defined as data collection, which is …

Thanks to the advanced technologies and social networks that allow the data to be widely
shared among the Internet, there is an explosion of pervasive multimedia data, generating …

This paper presents a hierarchical clustering method for natural disaster images. By
displaying natural disaster images with similar categories, users are able to intuitively …