A Study on Multimedia Emotion/Mood Classification and Recognition

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 179)

Abstract

Recently, multimedia emotion/mood can play an important role in multimedia understanding, retrieval, recommendation and some other multimedia applications. Many issues for multimedia emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science and musicology. Recently, researchers have conducted various studies to uncover the relationship between multimedia contents such as image or music and emotion in many applications. In this paper, we introduce the emotion/mood models and features used for classification. This paper also presents a comparison of different emotion/mood classification methods in various multimedia applications.

Keywords

Linear Discriminant Analysis Gaussian Mixture Model Emotion Recognition Emotion Model Music Information Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Division of Computer EngineeringMokwon UniversityDaejeonKorea

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