Browsing Department of Computer Science and Engineering by Title
Now showing items 44-57 of 57
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Recursive Quad-Tree Block Partitioning for Data Embedding in Images
(Springer, 2020)In this paper, we propose to embed messages in raw images using a recursive block partitioning technique adopted from HEVC video coding technology. This work introduces a quad-tree partitioning solution in which square ... -
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 ... -
Remote Labs and Game-Based Learning for Process Control
(Chemical Engineering Education, 2013)Social networking platforms and computer games represent a natural informal learning environment for the current generation of learners in higher education. This paper explores the use of game-based learning in the context ... -
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 ... -
Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances
(Springer, 2016-04)This paper proposes a video saliency detection model for MPEG and HEVC coded videos. The model extracts features from MPEG macro blocks and HEVC coding units. The feature variables are based on syntax elements and statistics ... -
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
(IEEE, 2007)This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ... -
Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning
(MDPI, 2023)There is an abundance of digital video content due to the cloud’s phenomenal growth and security footage, it is therefore essential to summarize these videos in data centers. This paper offers innovative approaches to the ... -
Syntax friendly and syntax amendment approaches to error resiliency in the MPEG-4 Simple Scalable Profile
(Elsevier, 2005)This work discusses two approaches to incorporating error resiliency in the Simple Scalable Profile SSP of the ISO/IEC MPEG-4 14496-2 visual standard. As such scalable MPEG-4 is made suitable for deployment in a mobile ... -
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
(Springer, 2007)This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ... -
Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
(IEEE, 2023)Recognition of continuous sign language is challenging as the number of words is a sentence and their boundaries are unknown during the recognition stage. This work proposes a two-stage solution in which the number of words ... -
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
(Elsevier, 2011)This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ... -
Using C++ to Calculate SO(10) Tensor Couplings
(MDPI, 2021-10-04)Model building in SO(10), which is the leading grand unification framework, often involves large Higgs representations and their couplings. Explicit calculations of such couplings is a multi-step process that involves ... -
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
(Elsevier, 2019)This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions ... -
Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques
(MDPI, 2023-06-05)This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature ...