Now showing items 11-30 of 57

    • Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units 

      Shanableh, Tamer (Institution of Engineering and Technology, 2019-07)
      This paper proposes a data embedding solution in HEVC videos by modifying the partitioning of Coding Units (CUs). The partitions of a CU are first represented as a sequence of binary flags. The flags pertaining to 16x16 ...
    • Data Embedding in Scrambled Video by Rotating Motion Vectors 

      Ahmed, Afaf Eltayeb Mohamedelbagir; Shanableh, Tamer (Springer, 2022-03)
      Data embedding in videos has several important applications including Digital Rights Management, preserving confidentiality of content, authentication and tampering detection. This paper proposes a novel data embedding ...
    • Data Hiding in MPEG Video Files Using Multivariate Regression and Flexible Macroblock Ordering 

      Shanableh, Tamer (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 ...
    • Decision-level fusion for single-view gait recognition with various carrying and clothing conditions 

      Al-Tayyan, Amer; Assaleh, Khaled; Shanableh, Tamer (Elsevier, 2017)
      Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ...
    • Detecting Double and Triple Compression in HEVC Videos Using the Same Bit Rate 

      Youssef, Seba; Shanableh, Tamer (Springer, 2021)
      Digital video forensics refers to the process of analysing, examining, evaluating and comparing a video for use in legal matters. In digital video forensics, the main aim is to detect and identify video forgery to ensure ...
    • Detection of frame deletion for digital video forensics 

      Shanableh, Tamer (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 ...
    • Digital Twin Conceptual Model within the Context of Internet of Things 

      Al-Ali, A. R.; Gupta, Ragini; Batool, Tasneem Zaman; Landolsi, Taha; Aloul, Fadi; Al Nabulsi, Ahmad (MDPI, 2020)
      As the Internet of Things (IoT) is gaining ground and becoming increasingly popular in smart city applications such as smart energy, smart buildings, smart factories, smart transportation, smart farming, and smart healthcare, ...
    • Error resiliency transcoding and decoding solutions using distributed video coding techniques 

      Shanableh, Tamer; May, Tony; Ishtiaq, Faisal (Elsevier, 2008)
      This paper proposes a number of video transcoding techniques for the purpose of adding error resiliency. The proposed solutions make use of distributed video coding technologies which were originally reported in the ...
    • Feature modeling using polynomial classifiers and stepwise regression 

      Shanableh, Tamer; Assaleh, Khaled (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 ...
    • Fog Computing Approach for Shared Mobility in Smart Cities 

      Aburukba, Raafat; Al-Ali, Abdul-Rahman; Riaz, Ahmed H.; Al Nabulsi, Ahmad; Khan, Danayal; Khan, Shavaiz; Amer, Moustafa (MDPI, 2021)
      Smart transportation a smart city application where traditional individual models are transforming to shared and distributed ownership. These models are used to serve commuters for inter- and intra-city travel. However, ...
    • FPGA-Based Network Traffic Classification Using Machine Learning 

      Elnawawy, Mohammed; Sagahyroon, Assim; Shanableh, Tamer (IEEE Xplore, 2020)
      Real-time classification of internet traffic is critical for the efficient management of networks. Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. ...
    • Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode 

      Tubaiz, Noor Ali; Shanableh, Tamer; Assaleh, Khaled (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 ...
    • H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression 

      Shanableh, Tamer; Assaleh, Khaled (Springer, 2015)
      This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ...
    • 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 ...