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Visual Event Detection, Niels Haering; Niels da Vitoria Lobo


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Автор: Niels Haering; Niels da Vitoria Lobo
Название:  Visual Event Detection
ISBN: 9781441949073
Издательство: Springer
Классификация:


ISBN-10: 1441949070
Обложка/Формат: Paperback
Страницы: 146
Вес: 0.24 кг.
Дата издания: 07.12.2010
Серия: The International Series in Video Computing
Язык: English
Размер: 234 x 156 x 9
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g., recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener- ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen- erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de- rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.


Multithreading for Visual Effects

Автор: Watt
Название: Multithreading for Visual Effects
ISBN: 1482243563 ISBN-13(EAN): 9781482243567
Издательство: Taylor&Francis
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Цена: 7823.00 р. 11176.00 -30%
Наличие на складе: Есть (1 шт.)
Описание:

Tackle the Challenges of Parallel Programming in the Visual Effects Industry

In Multithreading for Visual Effects, developers from DreamWorks Animation, Pixar, Side Effects, Intel, and AMD share their successes and failures in the messy real-world application area of production software. They provide practical advice on multithreading techniques and visual effects used in popular visual effects libraries (such as Bullet, OpenVDB, and OpenSubdiv), one of the industry's leading visual effects packages (Houdini), and proprietary animation systems. This information is valuable not just to those in the visual effects arena, but also to developers of high performance software looking to increase performance of their code.

Diverse Solutions to Solve Performance Problems

After an introductory chapter, each subsequent chapter presents a case study that illustrates how the authors used multithreading techniques to achieve better performance. The authors discuss the problems that occurred and explain how they solved them. The case studies encompass solutions for shaving milliseconds, solutions for optimizing longer running tasks, multithreading techniques for modern CPU architectures, and massive parallelism using GPUs. Some of the case studies include open source projects so you can try out these techniques for yourself and see how well they work.

Real time deforestation detection using ANN and Satellite images

Автор: Thiago Nunes Kehl; Viviane Todt; Maur?cio Roberto
Название: Real time deforestation detection using ANN and Satellite images
ISBN: 331915740X ISBN-13(EAN): 9783319157405
Издательство: Springer
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Цена: 7836.00 р.
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Описание: The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks.

A Contrario Line Segment Detection

Автор: Rafael Grompone von Gioi
Название: A Contrario Line Segment Detection
ISBN: 1493905740 ISBN-13(EAN): 9781493905744
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This book leads a detailed tour through the LSD algorithm, a line segment detector designed to be fully automatic.

From Social Data Mining and Analysis to Prediction and Community Detection

Автор: Mehmet Kaya; ?zcan Erdo?an; Jon Rokne
Название: From Social Data Mining and Analysis to Prediction and Community Detection
ISBN: 3319513664 ISBN-13(EAN): 9783319513669
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.

Geometric Constraints for Object Detection and Delineation

Автор: Jefferey Shufelt
Название: Geometric Constraints for Object Detection and Delineation
ISBN: 1461374057 ISBN-13(EAN): 9781461374053
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Geometric Constraints for Object Detection and Delineation addresses these problems with a suite of novel methods and techniques for detecting and delineating generic objects in images of complex scenes, and applies them to the specific task of building detection and delineation from monocular aerial imagery.

Mobile Hybrid Intrusion Detection

Автор: ?lvaro Herrero; Emilio Corchado
Название: Mobile Hybrid Intrusion Detection
ISBN: 3642423418 ISBN-13(EAN): 9783642423413
Издательство: Springer
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Цена: 18167.00 р.
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Описание: It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book.This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level.

Face Detection and Gesture Recognition for Human-Computer Interaction

Автор: Ming-Hsuan Yang; Narendra Ahuja
Название: Face Detection and Gesture Recognition for Human-Computer Interaction
ISBN: 146135546X ISBN-13(EAN): 9781461355465
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Computer graphics, image processing, and video databases have obvious overlap with computer vision.

Driver Drowsiness Detection

Автор: Aleksandar ?oli?; Oge Marques; Borko Furht
Название: Driver Drowsiness Detection
ISBN: 3319115340 ISBN-13(EAN): 9783319115344
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem.

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Автор: Claudia I. Gonzalez; Patricia Melin; Juan R. Castr
Название: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
ISBN: 3319539930 ISBN-13(EAN): 9783319539935
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format. Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system;

Topic Detection and Classification in Social Networks

Автор: Dimitrios Milioris
Название: Topic Detection and Classification in Social Networks
ISBN: 3319664131 ISBN-13(EAN): 9783319664132
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

Introduction.- Background and Related Work.- Joint Sequence Complexity.- Text Classification via Compressive Sensing.- Extension of Joint Complexity and Compressive Sensing.- Conclusion.

Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots

Автор: Jakimovski
Название: Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots
ISBN: 3642225047 ISBN-13(EAN): 9783642225048
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation.Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research.Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc.In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.

Detection and Identification of Rare Audio-visual Cues

Автор: Daphna Weinshall; J?rn Anem?ller; Luc van Gool
Название: Detection and Identification of Rare Audio-visual Cues
ISBN: 3642269729 ISBN-13(EAN): 9783642269721
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This volume brings together researchers from different disciplines to discuss new approaches for identifying, and reacting to, unexpected events in information-rich environments.


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