Now showing items 1-10 of 15
Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine
(NLM (Medline), 2019)
In this research work, machine learning techniques are used to classify magnetic resonance imaging brain scans of people with Alzheimer's disease. This work deals with binary classification between Alzheimer's disease and ...
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 ...
Virtual Reality and Its Applications in Education: Survey
In the education process, students face problems with understanding due to the complexity, necessity of abstract thinking and concepts. More and more educational centres around the world have started to introduce powerful ...
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 ...
From 2D to 3D geodesic-based garment matching
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, ...
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 ...