The 2017 prevalence of obesity among children (age 5–17 years) in the United Arab Emirates (UAE) is 13.68%. Childhood obesity is one of the 10 top health priorities in the UAE. This study examines the quality, frequency, sources, scope and framing of childhood obesity in popular social media and three leading UAE newspapers from 2014 to 2017. During the review period, 152 newspaper articles fro...

The world of communication has changed significantly in the last decade as a result of the evolution of social media. Food crisis managers and communicators should be cognizant of the messages presented to the public by all media channels during a crisis. Using the 2008 Irish dioxin contamination incident as an example, a quantitative content analysis was carried out to investigate the relation...

improved wireless video communication is challenging since video stream is vulnerable to channel distortions. Hence, the need to investigate efficient scheme for improved video communications. This research work investigated broadcast schemes, and proposes smart broadcast technique as a solution for improved video quality over constrained network such as wireless network under tight constraints...

This paper is the first work to perform spatio-temporal mapping of human activity using the visual content of geo-tagged videos. We utilize a recent deep-learning based video analysis framework, termed hidden two-stream networks, to recognize a range of activities in YouTube videos. This framework is efficient and can run in real time or faster which is important for recognizing events as they ...

With the rapid development of social media and social networks, spontaneously user generated content like tweets and forum posts have become important materials for tracking people’s opinions and sentiments online. In this paper we investigate the limitations of traditional linguistic-based approaches to sentiment analysis when applied to these informal genres. Inspired by various social cognit...

This position paper summarises some themes encountered when analysing video data in the context of music performance with interactive tabletops. It presents methodological approaches and coding schemes used for a set of experiments on musical tabletops and collaboration. Finally, it outlines an initial taxonomy based on the outcomes of the projects introduced, which can be used for video annota...

This paper surveys and extends the use of social media technologies as part of decision making support system (DMSS) development and management. In particular, this paper investigates how social media technologies, such as wikis, blogs, micro-blogs and tagging, have been and can be used to facilitate development and management of DMSS, through communication and collaboration. However, the autho...

In recent years there is a rapid growth of unstructured text and multimedia content, which includes audio, video and image content on the web and within the enterprise. Handling these large volumes of data is cumbersome without effective methods for content analysis and retrieval. This paper presents Sensefy – a cross media information retrieval system, which uses higher-level semantic concepts...

TOSCA-MP researches and develops tools for content analysis and search in professional media production processes. This paper discusses three core topics: A framework for networked media repositories, called Distributed Repository Framework, adaptive content analysis tools and semantic search.

Rich-media, pictures, and videos, are becoming an increasingly important aspect of online social networks. Unlike social networks, where users are connected primarily because of being friends, peers, or co-workers, content-based networks build connections between individuals founded on a shared interest in rich-media content. In this study, “interest-graphs” comprised of these content-based con...