Multimodal Scene Understanding
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Multimodal Scene Understanding
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Author : Michael Ying Yang
language : en
Publisher: Academic Press
Release Date : 2019-07-16
Multimodal Scene Understanding written by Michael Ying Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-16 with Technology & Engineering categories.
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning
Graph Neural Network Methods And Applications In Scene Understanding
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Author : Weibin Liu
language : en
Publisher: Springer Nature
Release Date : 2025-01-03
Graph Neural Network Methods And Applications In Scene Understanding written by Weibin Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and image processing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evaluation of scene understanding based on graph neural networks have been studied. First, the book elaborates the background and basic concepts of graph neural network and scene understanding, then introduces the operation mechanism and key methodological foundations of graph neural network. The book then comprehensively explores the implementation and architectural design of graph neural networks for scene understanding tasks, including scene parsing, human parsing, and video object segmentation. The aim of this book is to provide timely coverage of the latest advances and developments in graph neural networks and their applications to scene understanding, particularly for readers interested in research and technological innovation in machine learning, graph neural networks and computer vision. Features of the book include self-supervised feature fusion based graph convolutional network is designed for scene parsing, structure-property based graph representation learning is developed for human parsing, dynamic graph convolutional network based on multi-label learning is designed for human parsing, and graph construction and graph neural network with transformer are proposed for video object segmentation.
2016 International Symposium On Experimental Robotics
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Author : Dana Kulić
language : en
Publisher: Springer
Release Date : 2017-03-20
2016 International Symposium On Experimental Robotics written by Dana Kulić and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-20 with Technology & Engineering categories.
Experimental Robotics XV is the collection of papers presented at the International Symposium on Experimental Robotics, Roppongi, Tokyo, Japan on October 3-6, 2016. 73 scientific papers were selected and presented after peer review. The papers span a broad range of sub-fields in robotics including aerial robots, mobile robots, actuation, grasping, manipulation, planning and control and human-robot interaction, but shared cutting-edge approaches and paradigms to experimental robotics. The readers will find a breadth of new directions of experimental robotics. The International Symposium on Experimental Robotics is a series of bi-annual symposia sponsored by the International Foundation of Robotics Research, whose goal is to provide a forum dedicated to experimental robotics research. Robotics has been widening its scientific scope, deepening its methodologies and expanding its applications. However, the significance of experiments remains and will remain at the center of the discipline. The ISER gatherings are a venue where scientists can gather and talk about robotics based on this central tenet.
Proceedings Of The 9th International Conference On Engineering Management And The 2nd Forum On Modern Logistics And Supply Chain Management Icem Mlscm 2024
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Author : Colin W. K. Chen
language : en
Publisher: Springer Nature
Release Date : 2024-10-01
Proceedings Of The 9th International Conference On Engineering Management And The 2nd Forum On Modern Logistics And Supply Chain Management Icem Mlscm 2024 written by Colin W. K. Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Business & Economics categories.
This book is open access. In order to serve the development of regional industries, meet the needs of the industry, cultivate application-oriented talents with special needs in the industry, plan and promote scientific and technological innovation with a global perspective, bring together the latest cutting-edge scientific research results of global experts and scholars, create a strong academic exchange atmosphere, and promote the sharing and promotion of logistics and supply chain technology and scientific and technological innovation achievements, Guangzhou Business School plans to hold the "9th International Academic Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM2024) " in Foshan on June 28-30, 2024. The conference sincerely invites experts and scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the exchange.
Multimodal Computational Attention For Scene Understanding
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Author : Boris Schauerte
language : en
Publisher:
Release Date : 2014
Multimodal Computational Attention For Scene Understanding written by Boris Schauerte and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Multimodal Intelligent Sensing In Modern Applications
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Author : Masood Ur Rehman
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-26
Multimodal Intelligent Sensing In Modern Applications written by Masood Ur Rehman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Technology & Engineering categories.
Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things. Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future. Multimodal Intelligent Sensing in Modern Applications readers will also find: A field of multidisciplinary contributors in fields like wireless communications, signal processing, and sensor design Coverage of both software and hardware solutions to sensing challenges Detailed treatment of advanced topics like efficient deployment, data fusion, machine learning, and more Multimodal Intelligent Sensing in Modern Applications is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G/6G networks. It can also act an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.
Computer Vision Eccv 2020
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Author : Andrea Vedaldi
language : en
Publisher: Springer Nature
Release Date : 2020-11-06
Computer Vision Eccv 2020 written by Andrea Vedaldi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Computers categories.
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 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.
Building Machines That See Think And Act Like Humans
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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-05-30
Building Machines That See Think And Act Like Humans written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
Building Machines That See, Think, and Act Like Humans Engineering Conscious Machines Through Visual Understanding Can a machine see the world as we do,and understand it with human-like intelligence? This groundbreaking book tackles one of the greatest challenges in Artificial General Intelligence (AGI, machines with broad, human-level cognitive abilities): designing systems that perceive, reason, and act with the flexibility, adaptability, and awareness of the human mind. Core Strength of My AGI Systems Unlike traditional devices, my invention doesn’t just recreate images it provides semantic, context-aware visual understanding, making it ideal for assisting the blind in real-world environments with navigation, object recognition, and safety. This book can help creating many AGI devices. For example: Governments can’t afford to install and monitor CCTV cameras in every park or public space, it’s expensive and often reactive rather than preventative. Yet we continue to witness assaults, even murders, in parks and places where joggers, seniors, and children spend time, crimes that often go unpunished due to a lack of evidence or witnesses. In my book, I introduce a groundbreaking solution: using Visual AGI to develop affordable, intelligent systems that can monitor public spaces, detect criminal behavior, and respond in real time. These systems don’t just record footage, they understand context, recognize patterns of violence, and alert authorities immediately, even when no one else is around. Unlike traditional surveillance, these AI-driven devices can be lightweight, low-cost, and highly adaptive, offering protection in the places where people are most vulnerable. My goal is to inspire innovators to build safer communities through intelligent technology that sees, thinks, and acts with purpose. One expertly combines insights from neuroscience, cognitive science, machine learning, and robotics to build the technical and conceptual foundation for visual AGI, machines that don’t just recognize images but comprehend context, infer meaning, and make decisions as conscious agents. 🔍 What sets this book apart: Full-color illustrations that clarify complex biological and computational concepts Rigorous mathematical equations supporting key models and algorithms In-depth coverage of embodied cognition, neuromorphic vision, and multimodal intelligence Innovative robot designs capable of human-like perception and goal-driven behavior Advanced topics including spiking neural networks, event-based sensors, deep reinforcement learning, and more Thoughtful discussions on ethics, bias, explainability, and human alignment in AGI 🧠 From retina to cortex, neurons to algorithms, this book is not just about computer vision. It’s visual understanding for the next generation of conscious machines. Whether you're a researcher, engineer, or visionary in AI and robotics, this book offers a comprehensive, richly illustrated, and mathematically grounded roadmap for creating machines that truly see, think, and act like humans. Whether you're building the next generation of intelligent agents, designing neuromorphic hardware, or researching the future of AI, this book offers a visionary roadmap for constructing systems that can learn, perceive, and act with purpose in the real world. Note: Some illustrations are placed on separate pages to ensure clear, full-color presentation without crowding the text. I recommend buying the color version as I explained human vision in color along with algorithms, they will not show properly in black and white.
Yolo Object Detection Explained
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12
Yolo Object Detection Explained written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.
"YOLO Object Detection Explained" "YOLO Object Detection Explained" offers a comprehensive and accessible journey through the landscape of modern object detection, illuminating the path from its classical foundations to the cutting-edge innovations that define today’s real-time vision systems. The book artfully traces the evolution of detection techniques, contrasting the architectural shifts from traditional handcrafted methods to sophisticated deep learning models like YOLO, SSD, and R-CNN, while contextualizing these advancements within real-world applications and benchmark-driven progress. Through this historical and technical narrative, readers gain not only a deep understanding of the field but also an appreciation for the performance breakthroughs that have made real-time object perception possible. Central to the book is an in-depth exploration of the YOLO architecture itself—its unified, end-to-end philosophy, grid-based prediction mechanisms, and continuous refinement across successive versions. With clarity and rigor, the text guides practitioners through the entire YOLO lifecycle, from preparing augmented datasets and configuring models, to mastering advanced training strategies and overcoming deployment challenges across diverse hardware and edge environments. Specialized chapters tackle optimization, postprocessing, quantization, robustness, and production-scale serving, equipping the reader with practical insights for building and maintaining high-performance detection pipelines. Beyond the core technology, "YOLO Object Detection Explained" addresses the nuanced realities of customizing YOLO for advanced and ethical applications. The book examines scenario-specific adaptations—ranging from healthcare and agriculture to autonomous vehicles and smart cities—while delving into the vital topics of adversarial security, bias mitigation, privacy, and explainability. It concludes with a forward-looking perspective on the future of object detection, surveying hybrid approaches, continual and federated learning, multimodal sensing, and the evolving benchmarks that will shape next-generation intelligent vision systems. This work stands as an essential resource for engineers, researchers, and decision-makers seeking both mastery of the present and a roadmap to the future of object detection.
Multimodal Behavior Analysis In The Wild
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Author : Xavier Alameda-Pineda
language : en
Publisher: Academic Press
Release Date : 2018-11-13
Multimodal Behavior Analysis In The Wild written by Xavier Alameda-Pineda and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Technology & Engineering categories.
Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the- art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing. - Gives a comprehensive collection of information on the state-of-the-art, limitations, and challenges associated with extracting behavioral cues from real-world scenarios - Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources - Provides a wide variety of methodologies used to extract behavioral cues from multi-modal data