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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
(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 ...
MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
(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 ...
Detecting Double and Triple Compression in HEVC Videos Using the Same Bit Rate
(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 ...
HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors
(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 ...
Data Embedding in Scrambled Video by Rotating Motion Vectors
(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 ...
In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks
(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 ...
CNN and HEVC Video Coding Features for Static Video Summarization
(IEEE, 2022)
This study proposes a novel solution for the detection of keyframes for static video summarization. We preprocessed the well-known video datasets by coding them using the HEVC video coding standard. During coding, 64 ...
AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite
(MDPI, 2022)
This paper aims to assist novice gardeners in identifying plant diseases to circumvent misdiagnosing their plants and to increase general horticultural knowledge for better plant growth. In this paper, we develop a mobile ...