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  • Open Access

    ARTICLE

    A HEVC Video Steganalysis Method Using the Optimality of Motion Vector Prediction

    Jun Li1,2, Minqing Zhang1,2,*, Ke Niu1, Yingnan Zhang1, Xiaoyuan Yang1,2

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2085-2103, 2024, DOI:10.32604/cmc.2024.048095 - 15 May 2024

    Abstract Among steganalysis techniques, detection against MV (motion vector) domain-based video steganography in the HEVC (High Efficiency Video Coding) standard remains a challenging issue. For the purpose of improving the detection performance, this paper proposes a steganalysis method that can perfectly detect MV-based steganography in HEVC. Firstly, we define the local optimality of MVP (Motion Vector Prediction) based on the technology of AMVP (Advanced Motion Vector Prediction). Secondly, we analyze that in HEVC video, message embedding either using MVP index or MVD (Motion Vector Difference) may destroy the above optimality of MVP. And then, we define More >

  • Open Access

    ARTICLE

    High-Efficiency Video Coder in Pruned Environment Using Adaptive Quantization Parameter Selection

    Krishan Kumar1,*, Mohamed Abouhawwash2,3, Amit Kant Pandit1, Shubham Mahajan1, Mofreh A. Hogo4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1977-1993, 2022, DOI:10.32604/cmc.2022.027850 - 18 May 2022

    Abstract The high-efficiency video coder (HEVC) is one of the most advanced techniques used in growing real-time multimedia applications today. However, they require large bandwidth for transmission through bandwidth, and bandwidth varies with different video sequences/formats. This paper proposes an adaptive information-based variable quantization matrix (AI-VQM) developed for different video formats having variable energy levels. The quantization method is adapted based on video sequence using statistical analysis, improving bit budget, quality and complexity reduction. Further, to have precise control over bit rate and quality, a multi-constraint prune algorithm is proposed in the second stage of the… More >

  • Open Access

    ARTICLE

    Unified FPGA Design for the HEVC Dequantization and Inverse Transform Modules

    Turki M. Alanazi, Ahmed Ben Atitallah*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4319-4335, 2022, DOI:10.32604/cmc.2022.022988 - 14 January 2022

    Abstract As the newest standard, the High Efficiency Video Coding (HEVC) is specially designed to minimize the bitrate for video data transfer and to support High Definition (HD) and ULTRA HD video resolutions at the cost of increasing computational complexity relative to earlier standards like the H.264. Therefore, real-time video decoding with HEVC decoder becomes a challenging task. However, the Dequantization and Inverse Transform (DE/IT) are one of the computationally intensive modules in the HEVC decoder which are used to reconstruct the residual block. Thus, in this paper, a unified hardware architecture is proposed to implement… More >

  • Open Access

    ARTICLE

    Developing Secure Healthcare Video Consultations for Corona Virus (COVID-19) Pandemic

    Mohammed A. AlZain1,*, Jehad F. Al-Amri1, Ahmed I. Sallam2, Emad Sami Jaha3, Sultan S. Alshamrani1, Hala S. El-Sayed4, Osama S. Faragallah1

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1627-1640, 2022, DOI:10.32604/iasc.2022.020137 - 09 October 2021

    Abstract Many health networks became increasingly interactive in implementing a consulting approach to telemedicine before the COVID-19 pandemic. To mitigate patient trafficking and reduce the virus exposure in health centers, several GPs, physicians and people in the video were consulted during the pandemic at the start. Video and smartphone consultations will allow well-insulated and high-risk medical practitioners to maintain their patient care security. Video appointments include diabetes, obesity, hypertension, stroke, mental health, chemotherapy and chronic pain. Many urgent diseases, including an emergency triage for the eye, may also be used for online consultations and triages. The… More >

  • Open Access

    ARTICLE

    Fast Intra Mode Selection in HEVC Using Statistical Model

    Junaid Tariq1,*, Ayman Alfalou2, Amir Ijaz1, Hashim Ali3, Imran Ashraf1, Hameedur Rahman1, Ammar Armghan4, Inzamam Mashood1, Saad Rehman1

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3903-3918, 2022, DOI:10.32604/cmc.2022.019541 - 27 September 2021

    Abstract Comprehension algorithms like High Efficiency Video Coding (HEVC) facilitates fast and efficient handling of multimedia contents. Such algorithms involve various computation modules that help to reduce the size of content but preserve the same subjective viewing quality. However, the brute-force behavior of HEVC is the biggest hurdle in the communication of multimedia content. Therefore, a novel method will be presented here to accelerate the encoding process of HEVC by making early intra mode decisions for the block. Normally, the HEVC applies 35 intra modes to every block of the frame and selects the best among… More >

  • Open Access

    ARTICLE

    Utilization of HEVC ChaCha20-Based Selective Encryption for Secure Telehealth Video Conferencing

    Osama S. Faragallah1,*, Ahmed I. Sallam2, Hala S. El-sayed3

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 831-845, 2022, DOI:10.32604/cmc.2022.019151 - 07 September 2021

    Abstract Coronavirus (COVID-19) is a contagious disease that causes exceptional effect on healthcare organizations worldwide with dangerous impact on medical services within the hospitals. Because of the fast spread of COVID-19, the healthcare facilities could be a big source of disease infection. So, healthcare video consultations should be used to decrease face-to-face communication between clinician and patients. Healthcare video consultations may be beneficial for some COVID-19 conditions and reduce the need for face-to-face contact with a potentially positive patient without symptoms. These conditions are like top clinicians who provide remote consultations to develop treatment methodology and… More >

  • Open Access

    ARTICLE

    Novel Ransomware Hiding Model Using HEVC Steganography Approach

    Iman Almomani1,2,*, Aala AlKhayer1, Walid El-Shafai1,3

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1209-1228, 2022, DOI:10.32604/cmc.2022.018631 - 07 September 2021

    Abstract Ransomware is considered one of the most threatening cyberattacks. Existing solutions have focused mainly on discriminating ransomware by analyzing the apps themselves, but they have overlooked possible ways of hiding ransomware apps and making them difficult to be detected and then analyzed. Therefore, this paper proposes a novel ransomware hiding model by utilizing a block-based High-Efficiency Video Coding (HEVC) steganography approach. The main idea of the proposed steganography approach is the division of the secret ransomware data and cover HEVC frames into different blocks. After that, the Least Significant Bit (LSB) based Hamming Distance (HD)… More >

  • Open Access

    ARTICLE

    Visual Protection Using RC5 Selective Encryption in Telemedicine

    Osama S. Faragallah1,*, Ahmed I. Sallam2, Hala S. El-sayed3

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 177-190, 2022, DOI:10.32604/iasc.2022.019348 - 03 September 2021

    Abstract The dissemination of the COVID-19 viruses now extends the usage of video consultations to share perspectives and virtual medical consultations, save expenses and health procedures, track the success of care proposals with detail, consistency, and ease from moment to time. The research aims to study the security of video consultations. We will also present the advantages and disadvantages of video consultations and the complications of their implementation. This paper mainly proposes a practical, high-efficiency video encoding technique for the new video encoding technique (HEVC) used in video consultations. The technology offered uses the RC5 block… More >

  • Open Access

    ARTICLE

    An Effective CU Depth Decision Method for HEVC Using Machine Learning

    Xuan Sun1,2,3, Pengyu Liu1,2,3,*, Xiaowei Jia4, Kebin Jia1,2,3, Shanji Chen5, Yueying Wu1,2,3

    Computer Systems Science and Engineering, Vol.39, No.2, pp. 275-286, 2021, DOI:10.32604/csse.2021.015255 - 20 July 2021

    Abstract This paper presents an effective machine learning-based depth selection algorithm for CTU (Coding Tree Unit) in HEVC (High Efficiency Video Coding). Existing machine learning methods are limited in their ability in handling the initial depth decision of CU (Coding Unit) and selecting the proper set of input features for the depth selection model. In this paper, we first propose a new classification approach for the initial division depth prediction. In particular, we study the correlation of the texture complexity, QPs (quantization parameters) and the depth decision of the CUs to forecast the original partition depth… More >

  • Open Access

    ARTICLE

    Suitability of VVC and HEVC for Video Telehealth Systems

    Muhammad Arslan Usman1,4,*, Muhammad Rehan Usman2, Rizwan Ali Naqvi3, Bernie Mcphilips4, Christopher Romeika4, Daniel Cunliffe4, Christos Politis1, Nada Philip1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 529-547, 2021, DOI:10.32604/cmc.2021.014614 - 12 January 2021

    Abstract Video compression in medical video streaming is one of the key technologies associated with mobile healthcare. Seamless delivery of medical video streams over a resource constrained network emphasizes the need of a video codec that requires minimum bitrates and maintains high perceptual quality. This paper presents a comparative study between High Efficiency Video Coding (HEVC) and its potential successor Versatile Video Coding (VVC) in the context of healthcare. A large-scale subjective experiment comprising of twenty-four non-expert participants is presented for eight different test conditions in Full High Definition (FHD) videos. The presented analysis highlights the… More >

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