The paper presents our initial attempts in building an audio video emotion recognition system. Both, audio and video sub-systems are discussed, and description of the database of s...
Rok Gajsek, Vitomir Struc, Simon Dobrisek, Janez Z...
We propose a novel bimodal emotion recognition approach by using the boosting-based framework, in which we can automatically determine the adaptive weights for audio and visual fea...
We study the problem of affective content analysis. In this paper we think of affective contents as those video/audio segments, which may cause an audience’s strong reactions or...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...