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Roadside Video Data Analysis

Roadside Video Data Analysis
Author: Brijesh Verma
Publisher: Springer
Total Pages: 209
Release: 2017-04-28
Genre: Technology & Engineering
ISBN: 9811045399
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This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.

Video Data Analysis

Video Data Analysis
Author: Anne Nassauer
Publisher: SAGE
Total Pages: 318
Release: 2022-03-17
Genre: Social Science
ISBN: 1529779162
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Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: · Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation · Use video data in an ethical and effective way to maximise its impact · Utilise contemporary technology and accessible platforms such as YouTube, Twitter, Tik Tok and Facebook. This book is an ideal toolkit for researchers or postgraduate students across the social sciences working with video data as a part of their research projects. Accessible and practical, is written for qualitative and quantitative researchers, newcomers and experienced scholars. Features include interactive activities for different skill levels and ‘what to read next’ sections to help you engage further with the research mentioned in the book.

Neural Information Processing

Neural Information Processing
Author: Bao-Liang Lu
Publisher: Springer
Total Pages: 810
Release: 2011-11-12
Genre: Computers
ISBN: 3642249655
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The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Video Data Analytics for Smart City Applications: Methods and Trends

Video Data Analytics for Smart City Applications: Methods and Trends
Author: Abhishek Singh Rathore
Publisher: Bentham Science Publishers
Total Pages: 150
Release: 2023-04-20
Genre: Computers
ISBN: 981512370X
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Video data analytics is rapidly evolving and transforming the way we live in urban environments. Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.

Neural Information Processing

Neural Information Processing
Author: Tom Gedeon
Publisher: Springer Nature
Total Pages: 723
Release: 2019-12-10
Genre: Computers
ISBN: 3030367118
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The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing.

Video Text Detection

Video Text Detection
Author: Tong Lu
Publisher: Springer
Total Pages: 272
Release: 2014-07-23
Genre: Computers
ISBN: 1447165152
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This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Design of Video Quality Metrics with Multi-Way Data Analysis

Design of Video Quality Metrics with Multi-Way Data Analysis
Author: Christian Keimel
Publisher: Springer
Total Pages: 245
Release: 2015-12-29
Genre: Technology & Engineering
ISBN: 981100269X
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This book proposes a data-driven methodology using multi-way data analysis for the design of video-quality metrics. It also enables video- quality metrics to be created using arbitrary features. This data- driven design approach not only requires no detailed knowledge of the human visual system, but also allows a proper consideration of the temporal nature of video using a three-way prediction model, corresponding to the three-way structure of video. Using two simple example metrics, the author demonstrates not only that this purely data- driven approach outperforms state-of-the-art video-quality metrics, which are often optimized for specific properties of the human visual system, but also that multi-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling.

International Encyclopedia of Transportation

International Encyclopedia of Transportation
Author:
Publisher: Elsevier
Total Pages: 4418
Release: 2021-05-13
Genre: Law
ISBN: 0081026722
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In an increasingly globalised world, despite reductions in costs and time, transportation has become even more important as a facilitator of economic and human interaction; this is reflected in technical advances in transportation systems, increasing interest in how transportation interacts with society and the need to provide novel approaches to understanding its impacts. This has become particularly acute with the impact that Covid-19 has had on transportation across the world, at local, national and international levels. Encyclopedia of Transportation, Seven Volume Set - containing almost 600 articles - brings a cross-cutting and integrated approach to all aspects of transportation from a variety of interdisciplinary fields including engineering, operations research, economics, geography and sociology in order to understand the changes taking place. Emphasising the interaction between these different aspects of research, it offers new solutions to modern-day problems related to transportation. Each of its nine sections is based around familiar themes, but brings together the views of experts from different disciplinary perspectives. Each section is edited by a subject expert who has commissioned articles from a range of authors representing different disciplines, different parts of the world and different social perspectives. The nine sections are structured around the following themes: Transport Modes; Freight Transport and Logistics; Transport Safety and Security; Transport Economics; Traffic Management; Transport Modelling and Data Management; Transport Policy and Planning; Transport Psychology; Sustainability and Health Issues in Transportation. Some articles provide a technical introduction to a topic whilst others provide a bridge between topics or a more future-oriented view of new research areas or challenges. The end result is a reference work that offers researchers and practitioners new approaches, new ways of thinking and novel solutions to problems. All-encompassing and expertly authored, this outstanding reference work will be essential reading for all students and researchers interested in transportation and its global impact in what is a very uncertain world. Provides a forward looking and integrated approach to transportation Updated with future technological impacts, such as self-driving vehicles, cyber-physical systems and big data analytics Includes comprehensive coverage Presents a worldwide approach, including sets of comparative studies and applications

Traffic Engineering & Control

Traffic Engineering & Control
Author:
Publisher:
Total Pages: 854
Release: 1996
Genre: Traffic engineering
ISBN:
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Exploratory Advanced Research Program

Exploratory Advanced Research Program
Author:
Publisher:
Total Pages: 12
Release: 2015
Genre: Highway engineering
ISBN:
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The flagship dataset to emerge from the Transportation Research Board's second Strategic Highway Research Program (SHRP 2) study is the naturalistic driving study (NDS). The study is a focus on driver behavior and addresses the notion that it is possible to obtain more and better information on what people do when they drive--not just in the moments before they get into a collision but on a day-to-day basis. Researchers for the NDS have gathered over 1.2-million hours of data, collected from the vehicles of approximately 3,000 volunteers going about their regular activities. Each of those vehicles was equipped with four cameras, a Global Positioning System (GPS), and many other sensors. Over 2 petabytes (2,000 terabytes) of data has been generated over a 2-year period, a majority of which comes from video captured by the onboard cameras. The massive size of the video data creates a serious data bottleneck for researchers and makes traditional methods for identifying features in the data, such as objects, behaviors, roadside design details, and surrounding vehicles, completely inadequate. Several video analytics research projects, funded by the EAR Program, aim to make data processing and analysis more practical by focusing on increasing the automation of video data decoding. The goal of these EAR Program projects is to assist researchers through the use of an algorithm designed to narrow down the amount of data researchers need to manually review. There are six ongoing video analytics projects funded by the EAR Program, all tasked with developing technology to make it feasible for a researcher to quickly and flexibly get what they need from an extremely large dataset. The following pages contain summary descriptions of the EAR Program-sponsored research projects investigating video analytics.