Now showing items 24-43 of 57

    • H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling 

      Peixoto, Eduardo; Shanableh, Tamer; Izquierdo, Ebroul (IEEE, 2014)
      The new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper ...
    • HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors 

      Shanableh, Tamer (IEEE, 2022)
      A high capacity message embedding in encrypted HEVC video is proposed in this paper. The challenges addressed in this paper include keeping the encrypted video compliant with standardized decoders, correctly decrypting the ...
    • Hybrid DCT/Pixel Domain Architecture for Heterogeneous Video Transcoding 

      Shanableh, Tamer; Ghanbari, Mohammed (Elsevier, 2003)
      In this paper the pixel domain heterogeneous video transcoder proposed by the authors is implemented in the DCT domain. Consequently, the motion compensation and its inverse and the image down-sampling functions of the ...
    • In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks 

      Dweek, Samaa; Dhou, Salam; Shanableh, Tamer (Society of Photo-Optical Instrumentation Engineers (SPIE), 2022)
      Respiratory-Correlated cone beam computed tomography (4D-CBCT) is an emerging image-guided radiation therapy (IGRT) technique that is used to account for the uncertainties caused by respiratory-induced motion in the ...
    • Internet of things based multi-sensor patient fall detection system 

      Khan, Sarah; Qamar, Ramsha; Zaheen, Rahma; Al-Ali, Abdul-Rahman; Al Nabulsi, Ahmad; Al-Nashash, Hasan (National Center for Biotechnology Information, 2019)
      Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective ...
    • IoT Based Smart City Bus Stops 

      Kamal, Miraal; Atif, Manal; Mujahid, Hafsa; Shanableh, Tamer; Al-Ali, Abdul-Rahman (MDPI, 2019)
      The advent of smart sensors, single system-on-chip computing devices, Internet of Things (IoT), and cloud computing is facilitating the design and development of smart devices and services. These include smart meters, smart ...
    • IoT-solar energy powered smart farm irrigation system 

      Al-Ali, A. R.; Al Nabulsi, Ahmad; Mukhopadhyay, Shayok; Awal, Mohammad Shihab; Fernandes, Sheehan; Ailabouni, Khalil Gihad (KeAi, 2019)
      As the Internet of things (IoT) technology is evolving, distributed solar energy resources can be operated, monitored, and controlled remotely. The design of an IoT based solar energy system for smart irrigation is essential ...
    • Matrix Encoding for Data Hiding Using Multilayer Video Coding and Transcoding Solutions 

      Shanableh, Tamer (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. ...
    • Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions 

      AlSawaftah, Nour Majdi; Elabed, Salma Sami; Dhou, Salam; Zakaria, Amer (MDPI, 2022)
      Breast cancer is the most commonly diagnosed cancer type and is the leading cause of cancer-related death among females worldwide. Breast screening and early detection are currently the most successful approaches for the ...
    • Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing 

      Towheed, Mohammad Asif; Kiyani, Wasif; Ummar, Mumtaz; Shanableh, Tamer; Dhou, Salam (IEEE, 2019)
      Gait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a ...
    • MPEG-2 to HEVC Video Transcoding With Content-Based Modeling 

      Shanableh, Tamer; Peixoto, Eduardo; Izquierdo, Ebroul (IEEE, 2013)
      This paper proposes an efficient MPEG-2 to HEVC video transcoder. The objective of the transcoder is to migrate the abundant MPEG-2 video content to the emerging HEVC video coding standard. The transcoder introduces a ...
    • Multilayer Transcoding with format portability for multicasting of single-layered video 

      Shanableh, Tamer; Ghanbari, Mohammed (IEEE, 2005)
      This paper proposes a novel multilayer video transcoding approach for multicasting pre-encoded video to heterogeneous end-systems via diverse grouping of networks. Multilayer transcoding is first addressed by means of ...
    • Multiple Proposals for Continuous Arabic Sign Language Recognition 

      Hassan, Mohamed; Assaleh, Khaled; Shanableh, Tamer (Springer, 2019)
      The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main ...
    • A New Data-Based Dust Estimation Unit for PV Panels 

      Shaaban, Mostafa; AlArif, Amal AbdulAziz; Mokhtar, Mohamed; Tariq, Usman; Osman, Ahmed; Al-Ali, A. R. (MDPI, 2020)
      Solar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust ...
    • Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography 

      Yahia, Mohamed; Gawai, Rahul; Ali, Tarig; Mortula, Maruf; Albasha, Lutfi; Landolsi, Taha (IEEE, 2021)
      Waterleakage detection and localization in distribution networks pipelines is a challenge for utility companies. For this purpose, thermal Infrared Radiation (IR) techniques have been widely applied in the literature. ...
    • Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation 

      Mahmoud, Rwan Adil Osman; Shanableh, Tamer; Bodala, Indu P.; Thakor, Nitish V.; Al-Nashash, Hasan (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 ...
    • Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition 

      Tuffaha, Mohammed; Shanableh, Tamer; Assaleh, Khaled (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. ...
    • Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding 

      Shanableh, Tamer; Hassan, Mahitab Alaaeldin (Springer, 2020)
      This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding ...
    • Predicting split decisions of coding units in HEVC video compression using machine learning techniques 

      Hassan, Mahitab Alaaeldin; Shanableh, Tamer (Springer, 2018)
      In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. We use a sequencedependent approach in which a number of frames belonging to the video being encoded ...
    • Prediction of EV Charging Behavior Using Machine Learning 

      Shahriar, Sakib; Al-Ali, Abdul-Rahman; Osman, Ahmed; Dhou, Salam; NIJIM, MAIS (IEEE Access, 2021)
      As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ...