ExCAM - Uma metodologia Crowdsourcing para a autoria de conteúdo extra para vídeos

• Marcello Novaes de Amorim UFES
• Celso Alberto Saibel Santos UFES
• Orivaldo de Lira Tavares UFES

Abstract

This doctoral thesis aims to propose a methodology for authoring of extra content that can be embedded in videos, or presented coherently with them into multimedia systems. The proposed methodology will be based on Human Computation and Crowdsourcing, using Production Templates to design the required tasks and activities, and to select the adequate authoring tools according to the characteristics of the final outcome. It will also be developed a supportive environment for the extra content production process that will ensure that the methodology is followed, allowing the authors to focus exclusively on the activities that really demand human intelligence. In this environment, will be available a set of authoring tools that can be used, and further modified if necessary. In addition, a classification proposal will be presented to aid the authoring process of extra content for videos, according to three dimensions: Purpose, Nature and Type. Based on these characteristics the production models will be designed, and will be created a template library that can be used to configure the supporting environment and the very process of authorship. The proposal methodology will be called ExCAM (Extra Content Authoring Methodology) and the supportive environment will be called ExCAME (Extra Content Authoring Methodology Environment).

Keywords: Crowdsourcing, Computer supported cooperative work, Multimedia content creation, Human-centered computing