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Pregled bibliografske jedinice broj: 895170

A brief overview of affective multimedia databases


Horvat, Marko
A brief overview of affective multimedia databases // Proceedings of the 28th Central European Conference on Information and Intelligent Systems (CECIIS 2017) / Strahonja, Vjeran ; Kirinić, Valentina (ur.).
Varaždin: Faculty of Organization and Informatics, University of Zagreb, 2017. str. 3-11 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
A brief overview of affective multimedia databases

Autori
Horvat, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 28th Central European Conference on Information and Intelligent Systems (CECIIS 2017) / Strahonja, Vjeran ; Kirinić, Valentina - Varaždin : Faculty of Organization and Informatics, University of Zagreb, 2017, 3-11

Skup
Central European Conference on Information and Intelligent Systems (CECIIS 2017)

Mjesto i datum
Varaždin, Hrvatska, 27.09.2017. - 29.09.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski



POVEZANOST RADA


Profili:

Avatar Url Marko Horvat (autor)

Citiraj ovu publikaciju:

Horvat, Marko
A brief overview of affective multimedia databases // Proceedings of the 28th Central European Conference on Information and Intelligent Systems (CECIIS 2017) / Strahonja, Vjeran ; Kirinić, Valentina (ur.).
Varaždin: Faculty of Organization and Informatics, University of Zagreb, 2017. str. 3-11 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Horvat, M. (2017) A brief overview of affective multimedia databases. U: Strahonja, V. & Kirinić, V. (ur.)Proceedings of the 28th Central European Conference on Information and Intelligent Systems (CECIIS 2017).
@article{article, author = {Horvat, Marko}, year = {2017}, pages = {3-11}, keywords = {affective computing, multimedia, databases, emotion stimuli, emotion estimation}, title = {A brief overview of affective multimedia databases}, keyword = {affective computing, multimedia, databases, emotion stimuli, emotion estimation}, publisher = {Faculty of Organization and Informatics, University of Zagreb}, publisherplace = {Vara\v{z}din, Hrvatska} }
@article{article, author = {Horvat, Marko}, year = {2017}, pages = {3-11}, keywords = {affective computing, multimedia, databases, emotion stimuli, emotion estimation}, title = {A brief overview of affective multimedia databases}, keyword = {affective computing, multimedia, databases, emotion stimuli, emotion estimation}, publisher = {Faculty of Organization and Informatics, University of Zagreb}, publisherplace = {Vara\v{z}din, Hrvatska} }




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