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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.
If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won’t churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work—in theory and practice—so you can choose the best solution among all the available compression tools. With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they’ll give you a competitive edge. Learn why compression has become crucial as data production continues to skyrocket Know your data, circumstances, and algorithm options when choosing compression tools Explore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modeling Examine tradeoffs between file size and quality when choosing image compressors Learn ways to compress client- and server-generated data objects Meet the inventors and visionaries who created data compression algorithms
Multiresolution methods in geometric modelling are concerned with the generation, representation, and manipulation of geometric objects at several levels of detail. Applications include fast visualization and rendering as well as coding, compression, and digital transmission of 3D geometric objects. This book marks the culmination of the four-year EU-funded research project, Multiresolution in Geometric Modelling (MINGLE). The book contains seven survey papers, providing a detailed overview of recent advances in the various fields within multiresolution modelling, and sixteen additional research papers. Each of the seven parts of the book starts with a survey paper, followed by the associated research papers in that area. All papers were originally presented at the MINGLE 2003 workshop held at Emmanuel College, Cambridge, UK, 9-11 September 2003.
This book is the first to cover the recently developed MPEG-V standard, explaining the fundamentals of each part of the technology and exploring potential applications. Written by experts in the field who were instrumental in the development of the standard, this book goes beyond the scope of the official standard documentation, describing how to use the technology in a practical context and how to combine it with other information such as audio, video, images, and text. Each chapter follows an easy-to-understand format, first examining how each part of the standard is composed, then covers intended uses and applications for each particular effect. With this book, you will learn how to: - Use the MPEG-V standard to develop applications - Develop systems for various use cases using MPEG-V - Synchronize the virtual world and real world - Create and render sensory effects for media - Understand and use MPEG-V for the research of new types of media related technology and services - The first book on the new MPEG-V standard, which enables interoperability between virtual worlds and the real world - Provides the technical foundations for understanding and using MPEG-V for various virtual world, mirrored world, and mixed world use cases - Accompanying website features schema files for the standard, with example XML files, source code from the reference software and example applications
H.264 Advanced Video Coding or MPEG-4 Part 10 is fundamental to a growing range of markets such as high definition broadcasting, internet video sharing, mobile video and digital surveillance. This book reflects the growing importance and implementation of H.264 video technology. Offering a detailed overview of the system, it explains the syntax, tools and features of H.264 and equips readers with practical advice on how to get the most out of the standard. Packed with clear examples and illustrations to explain H.264 technology in an accessible and practical way. Covers basic video coding concepts, video formats and visual quality. Explains how to measure and optimise the performance of H.264 and how to balance bitrate, computation and video quality. Analyses recent work on scalable and multi-view versions of H.264, case studies of H.264 codecs and new technological developments such as the popular High Profile extensions. An invaluable companion for developers, broadcasters, system integrators, academics and students who want to master this burgeoning state-of-the-art technology. "[This book] unravels the mysteries behind the latest H.264 standard and delves deeper into each of the operations in the codec. The reader can implement (simulate, design, evaluate, optimize) the codec with all profiles and levels. The book ends with extensions and directions (such as SVC and MVC) for further research." Professor K. R. Rao, The University of Texas at Arlington, co-inventor of the Discrete Cosine Transform
Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light field images and 3D point clouds. The field of graph signal processing – extending traditional Fourier analysis tools such as transforms and wavelets to handle data on irregular graph kernels – provides new flexible computational tools to analyze and process these varied types of imaging data. Recent methods combine graph signal processing ideas with deep neural network architectures for enhanced performances, with robustness and smaller memory requirements. The book is divided into two parts. The first is centered on the fundamentals of graph signal processing theories, including graph filtering, graph learning and graph neural networks. The second part details several imaging applications using graph signal processing tools, including image and video compression, 3D image compression, image restoration, point cloud processing, image segmentation and image classification, as well as the use of graph neural networks for image processing.
Proposing the concept of real-world data circulation (RWDC), this book presents various practical and industry-related studies in human, mechanical, and social data domains. RWDC is a new field of study, established by the information technology (IT) community. In the real world, the speed of data transmission between computers surpassed that of human communications long ago and has since expanded exponentially. As a result, the origin of the majority of data has become non-human, mechanical, or natural sources; in fact, humans are merely the source of a small part of the current data explosion. Such expanding data transmission does not simply consist of single source–destination pairs, but actually circulates over a complex network connecting numerous sources and destinations. Such circulation is an important aspect of the underlying systems. Based on this concept, in order to tame and control the massive amount of data originating from non-human sources, the authors have been considering the insertion of acquisition, analysis, and implementation processes in the flow of data circulation. This book introduces the outcome of the RWDC degree program organized at Nagoya University, Japan, collecting contributions from graduate students enrolled in the program from various research fields targeting diverse applications. Through examples of RWDC, the resulting creation of social value is illustrated. This book will be useful not only for those working on the topics discussed, but also to anyone who is interested in RWDC, digital transformation, and Industry 4.0.
QoMEX 2020 will provide a warm welcome to leading experts from academia and industry to present and discuss current and future research on multimedia quality, quality of experience (QoE) and user experience (UX) The conference will be held in form of oral, poster and plenary sessions, comprising dedicated special sessions on trending topics Prospective authors are invited to submit full or short papers (maximum of 6( 1) or 3( 1) pages, respectively) to the general track and to special sessions A core component of QoMEX 2020 will be demos from academia and industry and a paper format will be offered for content which requires live demonstrations Each paper will undergo a double blind review process Full, short and demo papers will be included in the Conference Proceedings Full and short papers will be published in IEEExplore
Video Compression for Flash, Apple Devices and HTML5: Sorenson Media Edition, is a professional reference for producers seeking to distribute video over the Internet and to mobile devices--particularly Apple iDevices. Unlike the retail edition, this version contains specific instruction for using Sorenson Squeeze, Sorenson 360 and Squeeze Server and is designed for those using those tools. Content included in the retail edition that are not included in the Sorenson Media edition include chapters on live production and choosing an online video platforms, as well as instruction on encoding tools like Telestream Episode, the Adobe Media Encoder and Apple Compressor. In this book, you will learn: - The fundamentals of video streaming and compression, including adaptive streaming- H.264 encoding parameters using Sorenson Squeeze- The resolutions and data rates used by US and European media and prominent B2B and B2C sites, so you can configure your streaming video accordingly - How to encode for iTunes distribution to iDevices from iPods to the iPad 2- The critical differences between the key adaptive streaming technologies--including HTTP Live Streaming, Dynamic Streaming and Smooth Streaming--and how to encode for distribution via these techniques- How to accelerate video encoding on multiple-core workstations and LAN clusters- Which streaming file analysis tools provide the most important feedback. - How to create and configure Squeeze presets for producing H.264, VP6, WebM and VC-1 formats- How to upload, encode, manage your content and configure your player in Sorenson 360.- How to operate Squeeze Server, including creating presets, setting up watch folders, managing queues and an introduction to the programming API. About the Author: Jan Ozer has produced and encoded video since the CD-ROM days (1992) and has taught courses in video and streaming production since 1994--most recently at Streaming Media Seminars in New York, San Jose, Los Angeles and London, and for private organizations like Cisco, Lockheed and Johns Hopkins University. Jan was named a Streaming Media All Star in 2010. Jan has written or co-authored 14 books on digital video related topics, including the Hands-On Guide to Flash Video: Web Video and Flash Media Server with Stefan Richter.