Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data PDF Download

Author: Robert B. Fisher
Publisher: Springer
ISBN: 3319302086
Category : Technology & Engineering
Languages : en
Pages : 321

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Book Description
This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Author: Duc-Tien Dang-Nguyen
Publisher: Springer Nature
ISBN: 3031270770
Category : Computers
Languages : en
Pages : 719

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Book Description
The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023. The 86 papers presented in these proceedings were carefully reviewed and selected from a total of 267 submissions. They focus on topics related to multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

Author: Rikke Gade
Publisher: Springer Nature
ISBN: 3031314352
Category : Technology & Engineering
Languages : en
Pages : 457

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Book Description
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.

Author: Jacques Blanc-Talon
Publisher: Springer
ISBN: 3319486802
Category : Computers
Languages : en
Pages : 767

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Book Description
This book constitutes the refereed proceedings of the 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016, held in Lecce, Italy, in October 2016. The 64 revised full papers presented in this volume were carefully selected from 137 submissions. They deal with classical low-level image processing techniques; image and video compression; 3D; security and forensics; and evaluation methodologies.

Author: Margrit Betke
Publisher: Springer Nature
ISBN: 3031018168
Category : Computers
Languages : en
Pages : 110

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Book Description
In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.

Author: Paul J. Smith
Publisher: BRILL
ISBN: 9004681183
Category : Science
Languages : en
Pages : 777

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Book Description
Ichthyology in Context (1500–1880) provides a broad spectre of early modern manifestations of human fascination with fish – “fish” understood in the early modern sense of the term, as aquatilia: all aquatic animals, including sea mammals and crustaceans. It addresses the period’s quickly growing knowledge about fish in its multiple, varied and rapidly changing interaction with culture. This topic is approached from various disciplines: history of science, cultural history, history of collections, historical ecology, art history, literary studies, and lexicology. Attention is given to the problematic questions of visual and textual representation of fish, and pre- and post-Linnean classification and taxonomy. This book also explores the transnational exchange of ichthyological knowledge and items in and outside Europe. Contributors: Cristina Brito, Tobias Bulang, João Paulo S. Cabral, Florike Egmond, Dorothee Fischer, Holger Funk, Dirk Geirnaert, Philippe Glardon, Justin R. Hanisch, Bernardo Jerosch Herold, Rob Lenders, Alan Moss, Doreen Mueller, Johannes Müller, Martien J.P. van Oijen, Pietro Daniel Omodeo, Anne M. Overduin-de Vries, Theodore W. Pietsch, Cynthia Pyle, Marlise Rijks, Paul J. Smith, Ronny Spaans, Robbert Striekwold, Melinda Susanto, Didi van Trijp, Sabina Tsapaeva, and Ching-Ling Wang.

Author: Phillip A. Laplante
Publisher: CRC Press
ISBN: 1351032720
Category : Technology & Engineering
Languages : en
Pages : 1890

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Book Description
The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.

Author: Xiaofeng Li
Publisher: Springer Nature
ISBN: 9811963754
Category : Science
Languages : en
Pages : 351

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Book Description
This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.

Author: Alexis Joly
Publisher: Springer
ISBN: 3319764454
Category : Computers
Languages : en
Pages : 226

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Book Description
This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth biodiversity. The data reflects the status, behavior, change as well as human interests and concerns which are increasingly crucial for understanding environmental issues and phenomena. This volume addresses the need for the development of advanced methods, techniques and tools for collecting, managing, analyzing, understanding and modeling environmental & biodiversity data, including the automated or collaborative species identification, the species distribution modeling and their environment, such as the air quality or the bio-acoustic monitoring. Researchers and practitioners in multimedia and environmental topics will find the chapters essential to their continued studies.

Author: Toon Calders
Publisher: Springer
ISBN: 3319463071
Category : Computers
Languages : en
Pages : 500

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Book Description
This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.