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Theodoros Psallidas and Evaggelos Spyrou
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content. Users are overexposed to videos via several social media or video sharing websites and mobile phone appli...
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Theodoros Psallidas, Panagiotis Koromilas, Theodoros Giannakopoulos and Evaggelos Spyrou
The exponential growth of user-generated content has increased the need for efficient video summarization schemes. However, most approaches underestimate the power of aural features, while they are designed to work mainly on commercial/professional video...
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Georgios Paraskevopoulos, Evaggelos Spyrou, Dimitrios Sgouropoulos, Theodoros Giannakopoulos and Phivos Mylonas
In this paper we present an approach towards real-time hand gesture recognition using the Kinect sensor, investigating several machine learning techniques. We propose a novel approach for feature extraction, using measurements on joints of the extracted ...
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Michalis Papakostas, Evaggelos Spyrou, Theodoros Giannakopoulos, Giorgos Siantikos, Dimitrios Sgouropoulos, Phivos Mylonas and Fillia Makedon
Emotion recognition from speech may play a crucial role in many applications related to human?computer interaction or understanding the affective state of users in certain tasks, where other modalities such as video or physiological parameters are unavai...
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Michalis Papakostas, Evaggelos Spyrou, Theodoros Giannakopoulos, Giorgos Siantikos, Dimitrios Sgouropoulos, Phivos Mylonas and Fillia Makedon
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Yorghos Voutos, Phivos Mylonas, Evaggelos Spyrou and Eleni Charou
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