Now showing items 1-10 of 14
Automatic speech based emotion recognition using paralinguistics features
(POLSKA AKAD NAUK, 2019)
Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing. In this paper, a small set of features ...
Audio-Visual Emotion Recognition in Video Clips
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019-01)
This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies and prosodic features ...
Adaptive multi-view video streaming using side information over peer-to-peer networks
Multi-view plus-depth-map (MVD) video streaming with autostereoscopic displays provides multi-user immersive media experiences. In this context, delivery of MVD representation to multiple clients remains a challenging ...
A novel deep network architecture for reconstructing RGB facial images from thermal for face recognition
This work proposes a fully convolutional network architecture for RGB face image generation from a given input thermal face image to be applied in face recognition scenarios. The proposed method is based on the FusionNet ...
Going deeper in hidden sadness recognition using spontaneous micro expressions database
Recognition of facial micro-expressions (MEs), which indicates conscious or unconscious suppressing of true emotions, is still a challenging task in the affective computing and computer vision. There are two main reasons ...
Action Recognition Using Single-Pixel Time-of-Flight Detection
Action recognition is a challenging task that plays an important role in many robotic systems, which highly depend on visual input feeds. However, due to privacy concerns, it is important to find a method which can recognise ...
Guest editorial: special issue on human abnormal behavioural analysis
(Springer Verlag, 2019-07-01)
Multimodal sequential fashion attribute prediction
(MDPI AG, 2019-10-01)
We address multimodal product attribute prediction of fashion items based on product images and titles. The product attributes, such as type, sub-type, cut or fit, are in a chain format, with previous attribute values ...
Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect (Multimedia Tools and Applications, (2018), 77, 23, (30939-30968), 10.1007/s11042-018-6118-y)
After the publication of this work , it was noticed that the co-author Pejman Rasti was omitted as the first author following an institutional investigation. The first author’s name is inserted in this erratum article.
Privacy-constrained biometric system for non-cooperative users
(MDPI AG, 2019-11-01)
With the consolidation of the new data protection regulation paradigm for each individual within the European Union (EU), major biometric technologies are now confronted with many concerns related to user privacy in biometric ...