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Robust Polynomial Classifier Using L1-norm minimization
(Springer, 2010)
In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ...
Android mobile app for real-time bilateral Arabic sign language translation using leap motion controller
(IEEE, 2017)
This paper introduces an android mobile App for real-time bilateral Arabic sign language translation. The system is designed to operate on isolated sign language words. The mobile App has four main components; sign language ...
Matrix Encoding for Data Hiding Using Multilayer Video Coding and Transcoding Solutions
(Elsevier, 2012)
This paper proposes a multitier data hiding solution in MPEG video using matrix encoding. In the first tier of the proposed solution, raw video is encoded into two layers using multilayer Signal to Noise Ratio (SNR) encoding. ...
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
(IEEE, 2017-07)
This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ...
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
(IEEE, 2015)
In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ...
Detection of frame deletion for digital video forensics
(Elsevier, 2013-12)
The abundance of digital video forms a potential piece of evidence in courtrooms. Augmenting subjective assessment of digital video evidence by an automated objective assessment helps increase the accuracy of deciding ...
Feature modeling using polynomial classifiers and stepwise regression
(Elsevier, 2010)
In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ...
A regression-based framework for estimating the objective quality of HEVC coding units and video frames
(Elsevier, 2015-05)
A no-reference objective quality estimation framework is proposed. The framework is suitable for any block-based video codec. In the proposed solution, features are extracted from coding units and summarized to form features ...
Data Hiding in MPEG Video Files Using Multivariate Regression and Flexible Macroblock Ordering
(IEEE, 2012)
This paper proposes two data hiding approaches using compressed MPEG video. The first approach hides message bits by modulating the quantization scale of a constant bitrate video. A payload of one message bit per macroblock ...
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
(Springer, 2015)
This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ...