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    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 ...
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    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 ...
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    A regression-based framework for estimating the objective quality of HEVC coding units and video frames 

    Shanableh, Tamer (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 ...
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    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 ...

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    Author
    Shanableh, Tamer (4)
    Assaleh, Khaled (1)Hassan, Mahitab Alaaeldin (1)Subject
    Video compression (4)
    Machine learning (2)Digital forensics (1)Error concealment (1)Frame deletion (1)High Efficiency Video Coding (HEVC) (1)Pattern recognition (1)PSNR estimation (1)Regression (1)Regression analysis (1)... View MoreDate Issued2015 (2)2013 (1)2018 (1)Has File(s)Yes (4)

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