Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques حسب Hassan, Mahitab Alaaeldin

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Predicting split decisions of coding units in HEVC video compression using machine learning techniques حسب Hassan, Mahitab Alaaeldin

"…In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. …"
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Data Embedding in Scrambled Video by Rotating Motion Vectors حسب Ahmed, Afaf Eltayeb Mohamedelbagir

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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks حسب Sawsan S. Sayed (16896414)

"…A comprehensive performance assessment is also presented considering the control methods from the perspective of the control method and objective, system efficiency, grid-code violation, communication requirement, and design complexity and flexibility.…"

HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors حسب Shanableh, Tamer

"…As such, message bits are extracted and the video is correctly reconstructed to its unscrambled state. Coding units that result in misclassification are identified at the encoder and excluded from message embedding. …"
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Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques حسب Issa, Obada

"…Experimental results on the JHMDB dataset resulted in average classification accuracies of 68.8% and 74.2% when using the projected phases of motion vectors and video coding feature variables, respectively. …"
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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images حسب Zahoor Ahmad (358103)

Data Embedding and Extraction in Scrambled Video using Machine Learning حسب Ahmed, Afaf Eltayeb Mohamedelbagir

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