engleski

A brief overview of affective multimedia databases

Multimedia documents such as videos, images, sounds and text inevitable stimulate emotional responses which can be measured. These documents are stored in dedicated affective databases along with descriptive metadata such as emotion and semantics. The landscape of multimedia databases for elicitation and estimation of emotions is very diverse. The databases are continuously employed in many areas such as psychology, psychiatry, neurosciences and cognitive sciences in studies of emotional responses, anxiety, stress, attention, cognitive states and in brain research. Their data models are also being increasingly used in computer science for sentiment analysis, multifaceted search in multimedia retrieval and automated recognition of emotions. Because of their growing relevance, it is important to compile a concise overview of the most important multimedia databases for stimulation and estimation of emotions. The aim of the paper is to help domain experts to find more easily the optimal database for their research, and others to quickly familiarize themselves with this area. The overview lists 24 most recent and frequently used affective multimedia databases, which jointly contain 126, 805 emotionally- annotated multimedia documents, and describes their quintessential properties.

affective computing, multimedia, databases, emotion stimuli, emotion estimation

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