2020 Ieee International Conference On Visual Communications And Image Processing Vcip
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2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) by IEEE Staff Pdf
Multimedia coding Multimedia coding transmission Multimedia over networks Image video processing Image video analysis Multimedia content retrieval Multimedia information security Multiview and 3D video Multimedia system design Application systems and emerging systems of visual communications and image processing
Annotation The International Conference on Visual Communications and Image Processing (VCIP), sponsored by the IEEE Circuits and Systems Society and supported by the Institute of Image Processing, School of Electronic Engineering, University of Electronic Science and Technology of China, will be held in Chengdu during 27 30 Nov 2016 VCIP has served as a premier forum in SPIE and IEEE for the exchange of fundamental research results and technological advances in the field of visual communications and image processing since 1986 It provides a venue for leading engineers and scientists from around the world to advance the research frontiers in various areas of interest to VCIP.
Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf
This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.
Pattern Recognition and Computer Vision by Huimin Ma,Liang Wang,Changshui Zhang,Fei Wu,Tieniu Tan,Yaonan Wang,Jianhuang Lai,Yao Zhao Pdf
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
MultiMedia Modeling by Björn Þór Jónsson,Cathal Gurrin,Minh-Triet Tran,Duc-Tien Dang-Nguyen,Anita Min-Chun Hu,Binh Huynh Thi Thanh,Benoit Huet Pdf
The two-volume set LNCS 13141 and LNCS 13142 constitutes the proceedings of the 28th International Conference on MultiMedia Modeling, MMM 2022, which took place in Phu Quoc, Vietnam, during June 6–10, 2022. The 107 papers presented in these proceedings were carefully reviewed and selected from a total of 212 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges by Jean-Jacques Rousseau,Bill Kapralos Pdf
This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.
Adversarial Machine Learning by Aneesh Sreevallabh Chivukula,Xinghao Yang,Bo Liu,Wei Liu,Wanlei Zhou Pdf
A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
Immersive Video Technologies by Giuseppe Valenzise,Martin Alain,Emin Zerman,Cagri Ozcinar Pdf
Get a broad overview of the different modalities of immersive video technologies—from omnidirectional video to light fields and volumetric video—from a multimedia processing perspective. From capture to representation, coding, and display, video technologies have been evolving significantly and in many different directions over the last few decades, with the ultimate goal of providing a truly immersive experience to users. After setting up a common background for these technologies, based on the plenoptic function theoretical concept, Immersive Video Technologies offers a comprehensive overview of the leading technologies enabling visual immersion, including omnidirectional (360 degrees) video, light fields, and volumetric video. Following the critical components of the typical content production and delivery pipeline, the book presents acquisition, representation, coding, rendering, and quality assessment approaches for each immersive video modality. The text also reviews current standardization efforts and explores new research directions. With this book the reader will a) gain a broad understanding of immersive video technologies that use three different modalities: omnidirectional video, light fields, and volumetric video; b) learn about the most recent scientific results in the field, including the recent learning-based methodologies; and c) understand the challenges and perspectives for immersive video technologies. Describes the whole content processing chain for the main immersive video modalities (omnidirectional video, light fields, and volumetric video) Offers a common theoretical background for immersive video technologies based on the concept of plenoptic function Presents some exemplary applications of immersive video technologies
3D Point Cloud Analysis by Shan Liu,Min Zhang,Pranav Kadam,C.-C. Jay Kuo Pdf
This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep learning on point clouds methods include comprehensive analysis of the breakthroughs from the past few years. Brand-new explainable machine learning methods for point cloud learning, which are lightweight and easy to train, are then thoroughly introduced. Quantitative and qualitative performance evaluations are provided. The comparison and analysis between the three types of methods are given to help readers have a deeper understanding. With the rich deep learning literature in 2D vision, a natural inclination for 3D vision researchers is to develop deep learning methods for point cloud processing. Deep learning on point clouds has gained popularity since 2017, and the number of conference papers in this area continue to increase. Unlike 2D images, point clouds do not have a specific order, which makes point cloud processing by deep learning quite challenging. In addition, due to the geometric nature of point clouds, traditional methods are still widely used in industry. Therefore, this book aims to make readers familiar with this area by providing comprehensive overview of the traditional methods and the state-of-the-art deep learning methods. A major portion of this book focuses on explainable machine learning as a different approach to deep learning. The explainable machine learning methods offer a series of advantages over traditional methods and deep learning methods. This is a main highlight and novelty of the book. By tackling three research tasks -- 3D object recognition, segmentation, and registration using our methodology -- readers will have a sense of how to solve problems in a different way and can apply the frameworks to other 3D computer vision tasks, thus give them inspiration for their own future research. Numerous experiments, analysis and comparisons on three 3D computer vision tasks (object recognition, segmentation, detection and registration) are provided so that readers can learn how to solve difficult Computer Vision problems.
Proceedings of the 2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics by Triwiyanto Triwiyanto,Achmad Rizal,Wahyu Caesarendra Pdf
This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (i) electronics, (ii) biomedical engineering, and (iii) health informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.
2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) by IEEE Staff Pdf
Emerging Techniques for Next Generation Video Image Coding Point Cloud Capture and Compression Compression for Machine Vision Image Video Security and Privacy Advanced Techniques for Emerging Stereo and Multi view Videos 3D reconstruction from monocular views Visual Communications Visual Processing Embedded Systems and Architecture Implementations Cloud Multimedia Systems, Applications and Services Multimedia Content Analysis, Representation, and Understanding Machine learning for Multimedia Multimedia and Multimodal User Interfaces and Interaction Models Multimedia Networking, Multimedia Traffic Management Efficient and Massively Scalable Multimedia Service Distribution, Multimedia Delivery, Multimedia Broadcasting Mobile Multimedia, Wireless Multimedia Communications Low Delay and Multipath Video Communication over 5G networks Emerging applications leveraging 5G networks
2021 International Conference on Visual Communications and Image Processing (VCIP) by IEEE Staff Pdf
The main conference theme of 2021 is Visual communications in the era of AI and limited resources Topics cover but are not limited to Emerging Techniques for Image and Video Coding Standards Image and video compression beyond standards Evaluation of image and video coding standards Video coding for machines Compression of neural networks for visual communications Dynamic Point Cloud Capture and Compression Image Video Privacy Advanced Techniques for Immersive Video Visual Communications Visual Processing Embedded Systems and Architecture Implementations Cloud Multimedia Systems, Applications and Services Multimedia Content Analysis, Representation, and Understanding Machine learning for Multimedia Multi and Hyperspectral Image Communication Automated Machine Learning for Visual Signal Processing Multimedia Networking, Multimedia Traffic Management
Image and Graphics by Huchuan Lu,Wanli Ouyang,Hui Huang,Jiwen Lu,Risheng Liu,Jing Dong,Min Xu Pdf
The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.
Computer Vision – ECCV 2022 by Shai Avidan,Gabriel Brostow,Moustapha Cissé,Giovanni Maria Farinella,Tal Hassner Pdf
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
