Now showing items 1-10 of 46
A new low-complexity patch-based image super-resolution
(INST ENGINEERING TECHNOLOGY-IET, 2017-10)
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary from pairs of high-resolution (HR) images and their corresponding low-resolution (LR) representations, is proposed. First, ...
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 ...
A new kernel development algorithm for edge detection using singular value ratios
(SPRINGER LONDON LTD, 2018-10)
The perceptual quality of an image is very sensitive to the degradation of the edge information which is usually caused by many video signal applications such as super-resolution and denoising. Hence, it is very important ...
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 ...
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 ...
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 ...
Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer's Disease Classification
(IOS PRESS, 2017)
Automatic computer-aided diagnosis (CAD) systems have been widely used in classification of patients who suffer from Alzheimer's disease (AD). This paper presents an automatic CAD system based on histogram feature extraction ...
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.
Robust non-blind color video watermarking using QR decomposition and entropy analysis
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2016-07)
Issues such as content identification, document and image security, audience measurement, ownership and copyright among others can be settled by the use of digital watermarking. Many recent video watermarking methods show ...
Efficiency of chosen speech descriptors in relation to emotion recognition
This research paper presents parametrization of emotional speech using a pool of common features utilized in emotion recognition such as fundamental frequency, formants, energy, MFCC, PLP, and LPC coefficients. The pool ...