Article
Mathematics
Di Fan, Huiyuan Zhao, Changying Zhang, Hongyun Liu, Xiaoming Wang
Summary: The problem of information security and copyright protection in video is increasingly prominent. The current video watermarking algorithm lacks strong anti-compression, resulting in a significant impact on the visual effect of video. This paper proposes a video watermarking algorithm based on H.264/AVC, which selects the appropriate chroma subblock based on the non-zero quantization coefficient and energy factor, and embeds the watermark into its DCT quantization coefficients using an optimized modulation to minimize the number of modifications. The algorithm shows good invisibility, anti-compression performance, and significant advantages compared to other similar methods.
Article
Computer Science, Information Systems
M. Venkata Phani Kumar, Monalisa Ghosh, Sudipta Mahapatra
Summary: This paper proposes two no-reference video quality assessment models based on feature extraction and dimension adaptation. The models predict video quality scores by calculating spatio-temporal distortions and content characteristics, and transform frame-level quality scores into video-level quality scores using a multi-stage temporal pooling mechanism. Experimental evaluations on video quality databases show that the predicted scores have good correlation with subjective quality scores.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Yamac Ergiz, Ali Murat Demirtas, Tolga Girici
Summary: Projections for future online traffic demonstrate the need for better techniques to accommodate the expected demand. Software defined networking (SDN) offers efficient central management for routing and resource management. This article presents a joint optimal bandwidth allocation and multipath routing solution for SDN-based delay/jitter constrained transmission of scalable videos, along with a heuristic approach for implementation in an SDN controller.Simulation results and numerical evaluations show significant improvements in two different problem configurations compared to benchmark algorithms, with Mininet emulation results supporting the theoretical findings.
Article
Computer Science, Information Systems
Yasamin Fazliani, Ernesto Andrade, Shahram Shirani
Summary: The study presents a real-time no-reference video quality assessment method for videos encoded by H.264 codec, extracting features, designing network dynamics, and ensuring high correlation with human judgment and minimal computational complexities. The proposed method is verified through experiments to outperform existing full-reference and no-reference video quality assessment methods while achieving real-time execution.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Feifeng Wang, Jing Chen, Huanqiang Zeng, Canhui Cai
Summary: This paper proposes a multiple description video coding approach with adaptive perceptual redundancy allocation framework for HEVC, which improves the error-resilient performance of video transmission by introducing redundancy. Experimental results demonstrate that the proposed method achieves superior reconstructed video quality compared to existing MDVC methods.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2022)
Article
Multidisciplinary Sciences
Tian Gao, Min Xiao, Pingping Chen, Diyan Gao
Summary: This paper proposes a new efficient strategy of unequal error protection (UEP) based on bilayer protograph-based low-density parity check (PLDPC) codes in decoding-and-forward (DF) relay systems. By jointly utilizing source coding and channel coding, the UEP strategy is designed to save transmission energy. Simulation results show that the proposed UEP schemes achieve excellent performance gains compared to conventional equal error protection (EEP) scheme.
Article
Physics, Multidisciplinary
Zirui Zhang, Ping Chen, Weijun Li, Xiaoming Xiong, Qianxue Wang, Heping Wen, Songbin Liu, Shuting Cai
Summary: This paper proposes an improved bitstream-oriented encryption method based on chaotic encryption for real-time video confidential communication. A 4-D self-synchronous chaotic stream cipher algorithm is designed to enhance security, and an ARM-embedded remote real-time video confidential communication system is built for experimental verification. Experimental results demonstrate that the proposed scheme, with high efficiency and flexibility, can meet the requirements of security, real-time performance, and format compatibility simultaneously.
Article
Engineering, Electrical & Electronic
Fariha Afsana, Manoranjan Paul, Manzur Murshed, David Taubman
Summary: This paper proposes a novel intra and inter-frame coding scheme to improve the compression efficiency of SHVC. By separating the common/visually important information and applying cuboid-based variable size block partitioning and coding process, the proposed method achieves better coding efficiency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Telecommunications
Muhammad Zeeshan, Muhammad Majid
Summary: The study introduces a high-efficiency video coding framework that can reduce data rates while maintaining perceived decoding quality. By utilizing human visual system characteristics to encode videos separately and generate visual saliency masks, data compression parameters are optimized and adjusted accordingly.
TELECOMMUNICATION SYSTEMS
(2021)
Article
Optics
Yanfei Sun, Junyu Wang, Haozhi Huang, Qing Chen
Summary: The scalable watermarking algorithm based on Discrete Cosine Transform (DCT) in the H.264/SVC framework allows for invisible watermark embedding, adapting to multi-resolution properties, and has been proven to result in robust and invisible embedded watermarks through testing.
Article
Telecommunications
Vukan Ninkovic, Dejan Vukobratovic, Christian Haeger, Henk Wymeersch, Alexandre Graell i Amat
Summary: This study introduces an autoencoder-based method for designing codes with unequal error protection capabilities, allowing for the design of UEP codes based on messages and bits of different importance levels, and demonstrating superior performance compared to other UEP codes in various scenarios.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Taiyu Wang, Fan Li, Xiaoya Qiao, Pamela C. Cosman
Summary: The article proposes a Low Complexity Mode Switching based Error Resilient Encoding method to reduce the complexity of video encoding through deep learning. By designing and training convolutional neural networks based on multi-scale information fusion, the method effectively predicts CU partitions for both intra and inter coding tree units, reducing computation time with acceptable video quality decrement.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Gang He, Li Xu, Jie Lei, Weiying Xie, Yunsong Li, Yibo Fan, Jinjia Zhou
Summary: This paper introduces a deep neural network for scalable high efficiency video coding, which improves visual quality and coding efficiency through interlayer restoration. By utilizing reconstructed frames from different layers, the network generates interlayers with higher quality, enhancing the coding efficiency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jiaqi Zhang, Meng Wang, Chuanmin Jia, Shanshe Wang, Siwei Ma, Wen Gao
Summary: Researchers propose a scalable intra coding optimization scheme for AVS3, which improves coding efficiency by analyzing complexity distribution and inheritance relationship of different partitioning and prediction modes and introducing low-complexity algorithms. Experimental results show that the proposed method achieves a wide range of encoding complexity reduction with moderate compression performance loss.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Chenxi Lai, Shaoshuai Gao, Guofang Tu
Summary: This paper considers the design of a rate-splitting (RS) precoder in optical communication systems and proposes a novel precoding scheme to address the issue of SIC errors. Simulation results show that the proposed scheme can significantly improve the error performance compared to the baseline.
COMPUTER COMMUNICATIONS
(2023)
Article
Chemistry, Analytical
Leander Hendrikx, Rui Zhong, Bruno Cornelis, Adrian Munteanu
Summary: A novel low-power distributed visual sensor network system is proposed in this paper, which performs real-time collaborative barcode localization, tracking, and robust identification. Through a dynamic triggering mechanism and efficient transmission protocols, communication is organized amongst the nodes themselves, resulting in lower congestion and reduced vulnerability of the system. Extensive experiments show that the distributed VSN brings substantial advantages in terms of accuracy, power savings, and time complexity compared to an equivalent centralized processing system.
Article
Engineering, Electrical & Electronic
Pengpeng Hu, Ran Zhao, Xinxin Dai, Adrian Munteanu
Summary: This paper introduces a deep learning approach for reconstructing a clean, watertight body mesh and normalizing the posture of the human body model from an input set of impaired body point clouds. The proposed method, named I2H, is the first deep learning approach to address these issues and achieves the best performance in 3D human mesh reconstruction.
Article
Multidisciplinary Sciences
Geletaw Sahle Tegenaw, Demisew Amenu, Girum Ketema, Frank Verbeke, Jan Cornelis, Bart Jansen
Summary: This study analyzed the quality and coordination of paper-based referral records for maternal and child health in low-resource settings. The findings indicate that the existing paper-based referral logbook is incomplete and lacks expected feedback. Referral services are inadequate and feedback is not delivered automatically, causing unnecessary delays.
Article
Chemistry, Analytical
Yangxintong Lyu, Ionut Schiopu, Bruno Cornelis, Adrian Munteanu
Summary: The paper introduces a new large-scale dataset DVMM and a novel deep learning framework for vehicle make and model recognition. Experimental results demonstrate that the new framework performs well on VMMR datasets.
Article
Psychiatry
Erika Lutin, Carmen Schiweck, Jan Cornelis, Walter De Raedt, Andreas Reif, Elske Vrieze, Stephan Claes, Chris Van Hoof
Summary: High and extreme stress levels alone did not affect HR circadian rhythm, except for a slight increase in basal HR. However, if depressive symptoms were present, extreme chronic stress levels did lead to a blunted circadian rhythm and lower basal HR. Additionally, blunted stress reactivity was associated with depressive symptoms, but not chronic stress.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Optics
Harutaka Shiomi, David Blinder, Tobias Birnbaum, Yota Inoue, Fan Wang, Tomoyoshi Ito, Takashi Kakue, Peter Schelkens, Tomoyoshi Shimobaba
Summary: We propose a deep hologram converter based on deep learning to convert low-precision holograms into middle-precision holograms. The low-precision holograms were calculated using a shorter bit width, increasing the data packing and computational circuits. Two deep neural networks (DNNs), one small and one large, were investigated. The large DNN exhibited better image quality, while the smaller DNN had a faster inference time. This scheme could be extended to various other hologram calculation algorithms.
Article
Health Care Sciences & Services
Zamzam Kalume, Bart Jansen, Marc Nyssen, Jan Cornelis, Frank Verbeke, Jean Paul Niyoyita
Summary: This study assessed the formats and completeness of existing paper-based referral letters and found inconsistencies and incompatibility with WHO standards in the formats used by public hospitals. All types of paper-based referral letters had completeness deficits.
BMC HEALTH SERVICES RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Pengpeng Hu, Edmond S. L. Ho, Adrian Munteanu
Summary: This article proposes a novel deep learning framework for generating omnidirectional 3-D point clouds of human bodies by registering front- and back-facing partial scans. The method does not require calibration-assisting devices or assumptions on initial alignment or correspondences. The approach builds virtual correspondences for the partial scans and predicts the rigid transformation between them through deep neural networks. Experiments show that the proposed method achieves state-of-the-art performance in both objective and subjective terms.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Optics
David Blinder, Takashi Nishitsuji, Peter Schelkens
Summary: In this study, we propose a new algorithm for computing computer-generated holography (CGH) for arbitrary 3D curves using splines. Compared to previous solutions, which only drew planar curves, our algorithm achieves high efficiency and can generate real-time 4K holographic videos of complex 3D curved objects.
Article
Optics
Tobias Birnbaum, Raees K. Muhammad, Cristian Perra, Antonin Gilles, David Blinder, Tomasz Kozacki, Peter Schelkens
Summary: Digital reconstructions of numerical holograms have various applications and the released Numerical Reconstruction Software for Holograms v10 provides a standardized and open-source toolbox for processing holograms with different types and color channels.
Article
Radiology, Nuclear Medicine & Medical Imaging
Redona Brahimetaj, Jan Cornelis, Chantal Van Ongeval, Johan De Mey, Bart Jansen
Summary: The study aims to explore the impact of high-resolution 3D micro-CT breast microcalcification (MCs) images in diagnosing breast cancer. The results show that the highest classification results are obtained at the highest resolution (8 μm), which could potentially improve the diagnosis of breast cancer.
Article
Chemistry, Analytical
Leon Denis, Remco Royen, Quentin Bolsee, Nicolas Vercheval, Aleksandra Pizurica, Adrian Munteanu
Summary: This paper presents a GPU-accelerated simulator that can generate high-quality and perfectly labelled data for any Time-of-Flight sensor. The simulator optimizes the algorithms by utilizing the 3D graphics pipeline of the GPU, reducing data generation time and maintaining compatibility with real-time rendering engines. Partially annotated real data and a novel loss function are used to bridge the gap between reality and simulation, reducing annotation efforts.
Article
Computer Science, Information Systems
Murilo Bresciani de Carvalho, Carla L. Pagliari, Gustavo de O. E. Alves, Colas Schretter, Peter Schelkens, Fernando Pereira, Eduardo A. B. da Silva
Summary: This paper proposes a novel light field coding mode, the Slanted 4D-Transform coding mode, which extends the 4D-Transform coding mode based on the conventional 4D-DCT, to offer better compression performance than both the available JPEG Pleno coding modes. By applying an adaptive, hierarchical geometric transformation to each 4D block in the light field, the proposed codec outperforms the standardized JPEG Pleno coding modes.
Article
Computer Science, Information Systems
Nastaran Nourbakhsh Kaashki, Pengpeng Hu, Adrian Munteanu
Summary: 3D anthropometric measurement extraction is crucial for various applications. Existing methods often suffer from sensitivity to noise and missing data, as well as computational complexity. To address these limitations, we propose a deep neural network architecture that fits a template to the input scan and outputs reconstructed body and measurements, without the need for transferring and refining measurements. A novel loss function and two large datasets are introduced for training. Experimental results show that our approach outperforms state-of-the-art methods in terms of accuracy and robustness, using both synthesized and real 3D scans.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Proceedings Paper
Computer Science, Software Engineering
Antonio M. G. Pinheiro, Joao Prazeres, Antonin Gilles, Raees Kizhakkumkara Muhammad, Tobias Birnbaum, Peter Schelkens
Summary: This paper presents the development and options of the Common Test Conditions (CTC) defined for evaluating the responses to the call for proposals for holographic content coding under the JPEG Pleno project. It discusses the challenges faced in selecting appropriate testing content and anchor types, as well as evaluating the quality of holographic data. The methodologies defined in the CTC for perceptual and objective quality evaluation of holographic data are also described.
OPTICS, PHOTONICS AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS VII
(2022)