Graphs has been a ubiquitous way of representing heterogeneous data. There are many
studies focused on graph learning highlighting the approaches for graph data extraction …

In this paper, we propose a multimodal framework for video segment interestingness
prediction based on the genre and affective impact of movie content. We hypothesize that …

Video summarization has attracted researchers' attention because it provides a compact and
informative video version, supporting users and systems to save efforts in searching and …

In this paper we seek methods to effectively detect urban micro-events. Urban micro-events
are events which occur in cities, have limited geographical coverage and typically affect only …

This paper explores the complex field of text summarization in Natural Language Processing
(NLP), with particular attention to the development and importance of semantic …

Increasing scale is a dominant trend in today's multimedia collections, which especially
impacts interactive applications. To facilitate interactive exploration of large multimedia …

Technology has permeated many aspects of human life, from everyday events,
entertainment, learning environments, festivities, even solemn ceremonies; such is the case …

We propose an algorithm to generate graphical summarising of longer text passages using
a set of illustrative pictures (TIPS). TIPS is an algorithm using a voting process that uses …

This short paper presents what is currently the main challenge associated with using
Generative Adversarial Networks (GANs) to generate visual media. That challenge is around …

In this paper we present a novel interactive multimodal learning system, which facilitates
search and exploration in large networks of social multimedia users. It allows the analyst to …