Naslov
Towards semantic and affective coupling in emotionally annotated databases

Autori
Horvat, Marko ; Popović, Siniša ; Ćosić, Krešimir

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

Izvornik
Proceedings of the 35th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2012 / Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2012, 1003-1008

ISBN
978-1-4673-2577-6

Skup
35th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2012

Mjesto i datum
Opatija, Hrvatska, 21.05.2012. - 25.05.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Document Retrieval; Knowledge Representation; Affective Computing; Multimedia Stimulus; Semantic Gap

Sažetak
Emotionally annotated databases are repositories of multimedia documents with annotated affective content that elicit emotional responses in exposed human subjects. They are primarily used in research of human emotions, attention and development of stress-related mental disorders. This can be successfully exploited in larger processes like selection, evaluation and training of personnel for occupations involving high stress levels. Emotionally annotated databases are also used in multimodal affective user interfaces to facilitate richer and more intuitive human- computer interaction. Multimedia documents in emotionally annotated databases must have maximum personal ego relevance to be the most effective in all these applications. For this reason flexible construction of subject-specific of emotionally annotated databases is imperative. But current construction process is lengthy and labor intensive because it inherently includes an elaborate tagging experiment involving a team of human experts. This is unacceptable since the creation of new databases or modification of the existing ones becomes slow and difficult. We identify a positive correlation between the affect and semantics in the existing emotionally annotated databases and propose to exploit this feature with an interactive relevance feedback for a more efficient construction of emotionally annotated databases. Automatic estimation of affective annotations from existing semantics enhanced with information refinement processes may lead to an efficient construction of high-quality emotionally annotated databases.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA