Emotional Prediction and Content Profile Estimation in Evaluating Audiovisual Mediated Communication

Emotional Prediction and Content Profile Estimation in Evaluating Audiovisual Mediated Communication

Rigas Kotsakis (Aristotle University of Thessaloniki, Thessaloniki, Greece), Charalampos Dimoulas (Aristotle University of Thessaloniki, Thessaloniki, Greece), George Kalliris (Aristotle University of Thessaloniki, Thessaloniki, Greece) and Andreas Veglis (Department of Journalism and Mass Communication, Aristotle University of Thessaloniki, Thessaloniki, Greece)
DOI: 10.4018/IJMSTR.2014100104


The present paper focuses on the extraction and evaluation of salient audiovisual features for the prediction of the encoding requirements in audiovisual content. Recent research showed that encoding decisions can be really crucial during audiovisual mediated communication, where poor encoding may lead to unaccepted Quality of Experience (QoE) or even to the creation of negative emotional response. In contrast, exaggerated high quality encoding may create increased bandwidth demands that are associated with annoying delays and irregular playback flow, resulting again in QoE degradation with similar emotional repulsion. Thus, there has to be a careful treatment with proper encoding balance during the production and deployment of mediated communication audiovisual resources. Such machine-assisted creativity is investigated in the current work, with the utilization of applicable audiovisual features, QoE metrics and emotional measures, aiming at implementing intelligent models for optimal audiovisual production and encoding configuration in demanding mediated communication applications and services.
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1. Introduction

The Internet has been established as the basic infrastructure for delivering video in a variety of mediated communication applications. There is a wide range of services available today, that carry voice, data, and video traffic in real time, to users located at remote areas. Both, live-broadcasting (LB) and offline /video on demand (VoD) streaming services are involved in mediated communication, which is encountered in a variety of application fields, such as journalism in the new media environment, social media and embedded digital characters, cultural shows and multimedia heritage portals, news reporting and infotainment services, cross- and trans-media publishing, audiovisual production and collaborative creative projects in the forms of web documentaries, hypermedia authoring and/or other nonlinear storytelling (Avdelidis et al., 2002;Dimoulas, Veglis & Kalliris, 2014a;2015;Dimoulas, Kalliris, Chatzara, Tsipas & Papanikolaou, 2014b; Matsiola, Dimoulas, Veglis & Kalliris, 2014;Vegiris,Avdelidis, Dimoulas & Papanikolaou, 2008;Veglis, Dimoulas & Kalliris, 2014). Furthermore, distance learning programs constitute a continuously emerging and at the same time demanding mediated communication example, which is very useful in providing information perception and understanding insights, thus in evaluating overall communication efficiency (Kalliris, Dimoulas, Veglis & Matsiola, 2011; Kalliris, Matsiola, Dimoulas & Veglis, 2014;Kotsakis, Dimoulas, Kalliris & Veglis, 2014). Participants to distance learning programs have at their disposal a variety of tools and services that allow them to communicate with their educator and with their peers in asynchronous and synchronous ways. In the latter category of services, real time video broadcasting as well as attending a real time course are the services that most resemble the traditional face to face educational process and are being highly valued by the participants in a distance learning course. Thus, the successful broadcasting of audiovisual content to learners plays an important role in the educational process (Kalliris et al., 2011;2014;Kotsakis et al., 2014).

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