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Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
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Natale Maiorana, Michelangelo Dini, Barbara Poletti, Sofia Tagini, Maria Rita Reitano, Gabriella Pravettoni, Alberto Priori and Roberta Ferrucci
From the start of the COVID-19 pandemic, the use of surgical masks became widespread. However, they occlude an important part of the face and make it difficult to decode and interpret other people?s emotions. To clarify the effect of surgical masks on co...
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Jannik Rößler, Jiachen Sun and Peter Gloor
In the last 14 months, COVID-19 made face-to-face meetings impossible and this has led to rapid growth in videoconferencing. As highly social creatures, humans strive for direct interpersonal interaction, which means that in most of these video meetings ...
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Paula Santi Malnis,Carina E. Colombi,Natalia G. Rodríguez-Posatini,Luis M. Rothis,Carlos O. Limarino
Pág. 186 - 228
Recent studies proposed that distributive fluvial systems (DFS) occupy a great proportion in modern continental sedimentary basins, challenging classical sedimentary models proposed for similar ancient basin. Because of this, arises the importance of stu...
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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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Julián Severiano Rodriguez Acevedo, Flavio Augusto Prieto Ortiz
Pág. 271 - 285
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