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Image Analysis
This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023. The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.
Constructing Ambient Intelligence
This book constitutes the refereed proceedings of the AmI 2011 Workshops, held in Amsterdam, The Netherlands, in November 2011. The 55 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on aesthetic intelligence: designing smart and beautiful architectural spaces; ambient intelligence in future lighting systems; interactive human behavior analysis in open or public spaces; user interaction methods for elderly, people with dementia; empowering and integrating senior citizens with virtual coaching; integration of AMI and AAL platforms in the future internet (FI) platform initiative; ambient gaming; human behavior understanding: inducing behavioral change; privacy, trust and interaction in the internet of things; doctoral colloquium.
Computer Vision – ACCV 2018 Workshops
This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).
With(Out) Trace: Interdisciplinary Investigations into Time, Space and the Body
This volume was first published by Inter-Disciplinary Press in 2015. This book, With(out) Trace: Inter-Disciplinary Investigations into Time, Space and the Body, unpacks many of the issues that surround the idea of trace: what we intentionally, an unintentionally, leave behind as well as how trace can help us to move forward. In particular this volume looks at how an inter-disciplinary approach can suggest new ways of seeing and, subsequently, exploring interconnections between time, space and the body. The papers within this work accomplish more than tracing a theme, a theory, or discipline within the study of time, space and the body. Moreover, the collection does not simply trace past debates about the relationship between the three. Indeed the interdisciplinarity of this collection will, it is hoped, suggest other ways of seeing the field and of tracing new paths through it. Exploring those new perspectives and new paths will undoubtedly enrich future thinking about the interconnections between time, space and the body.
The Interplay of Data, Technology, Place and People for Smart Learning
This book gathers contributions to the 3rd International Conference on Smart Learning Ecosystems and Regional Developments (SLERD 2018), held at Aalborg University, Denmark on 23–25 May 2018. What characterizes smart learning ecosystems? What is their role in city and regional development and innovation? How can we promote citizen engagement in smart learning ecosystems? These are some of the questions addressed at SLERD 2018 and documented in these proceedings, which include a diverse range of papers intended to help understand, conceive, and promote innovative human-centric design and development methods, education/training practices, informal social learning, and citizen-driven policies. The papers elaborate on the notion of smart learning ecosystems, assess the relation of smart learning ecosystems with their physical surroundings, and identify new resources for smart learning. SLERD 2018 contributes to foster the social innovation sectors, ICT and economic development and deployment strategies, as well as new policies for smarter, more proactive citizens. As such, these proceedings are relevant for researchers and policymakers alike.
Computer Vision in Sports
The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.
Computer Vision - ECCV 2014 Workshops
The four-volume set LNCS 8925, 8926, 8927 and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tag...
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
The Routledge Handbook of Urban Design Research Methods
As an evolving and contested field, urban design has been made, unmade, and remade at the intersections of multiple disciplines and professions. It is now a decisive moment for urban design to reflect on its rigour and relevance. This handbook is an attempt to seize this moment for urban design to further develop its theoretical and methodological knowledge base and engage with the question of "what urban design can be" with a primary focus on its research. This handbook includes contributions from both established and emerging scholars across the global North and global South to provide a more field-specific entry point by introducing a range of topics and lines of inquiry and discussing ho...
Introduction to Video and Image Processing
This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
