Автор: David Landau Название: Lighting for Cinematography: A Practical Guide to the Art and Craft of Lighting for the Moving Image ISBN: 1628926929 ISBN-13(EAN): 9781628926927 Издательство: Bloomsbury Academic Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: We can’t shoot good pictures without good lighting, no matter how good the newest cameras are. Shooting under available light gives exposure, but lacks depth, contrast, contour, atmosphere and often separation. The story could be the greatest in the world, but if the lighting is poor viewers will assume it’s amateurish and not take it seriously. Feature films and TV shows, commercials and industrial videos, reality TV and documentaries, even event and wedding videos tell stories. Good lighting can make them look real, while real lighting often makes them look fake. Lighting for Cinematography, the first volume in the new CineTech Guides to the Film Crafts series, is the indispensable guide for film and video lighting. Written by veteran gaffer and cinematographer David Landau, the book helps the reader create lighting that supports the emotional moment of the scene, contributes to the atmosphere of the story and augments an artistic style. Structured to mimic a 14 week semester, the chapters cover such things as lighting for movement, working with windows, night lighting, lighting the three plains of action and non-fiction lighting. Every chapter includes stills, lighting diagrams and key advice from professionals in the field, as well as lighting exercises to help the reader put into practice what was covered. www.lightingforcinematography.com
Автор: Kolker, Robert P. Название: Extraordinary image ISBN: 0813583098 ISBN-13(EAN): 9780813583099 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Welles. Hitchcock. Kubrick. These names appear on nearly every list of the all-time greatest filmmakers. But what makes these directors so great? Despite their very different themes and sensibilities, is there a common genius that unites them and elevates their work into the realm of the sublime? The Extraordinary Image takes readers on a fascinating journey through the lives and films of these three directors, identifying the qualities that made them cinematic visionaries. Reflecting on a lifetime of teaching and writing on these filmmakers, acclaimed film scholar Robert P. Kolker offers a deeply personal set of insights on three artists who have changed the way he understands movies. Spotlighting the many astonishing images and stories in films by Welles, Hitchcock, Kubrick, he also considers how they induce a state of amazement that transports and transforms the viewer. Kolker’s accessible prose invites readers to share in his own continued fascination and delight at these directors’ visual inventiveness, even as he lends his expertise to help us appreciate the key distinctions between the unique cinematic universes they each created. More than just a celebration of three cinematic geniuses, The Extraordinary Image is an exploration of how movies work, what they mean, and why they bring us so much pleasure.
Автор: Kaushik Ghosh, Manoj Diwakar Название: Wireless Sensor Network-Based Approaches to Digital Image Processing in the IoT ISBN: 1799832813 ISBN-13(EAN): 9781799832812 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 223610.00 T Наличие на складе: Нет в наличии. Описание: Presents research on the incorporation of digital image processing within the IoT field. While highlighting topics such as energy-efficient routing, machine learning, and cryptography, this publication addresses the challenges of transmitting image data and explores further applications of sensor networks.
Автор: Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu Название: Reconstruction-Free Compressive Vision for Surveillance Applications ISBN: 1681735563 ISBN-13(EAN): 9781681735566 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 67450.00 T Наличие на складе: Нет в наличии. Описание: Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.
Автор: Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu Название: Reconstruction-Free Compressive Vision for Surveillance Applications ISBN: 1681735547 ISBN-13(EAN): 9781681735542 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 46200.00 T Наличие на складе: Нет в наличии. Описание: Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.
Автор: A. Srinivasan Название: Computer Vision and Image Processing in the Deep Learning Era ISBN: 1799888932 ISBN-13(EAN): 9781799888932 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 193110.00 T Наличие на складе: Нет в наличии. Описание: In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems.
Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.
Автор: Nie Liqiang, Liu Meng, Song Xuemeng Название: Multimodal Learning toward Micro-Video Understanding ISBN: 1681736306 ISBN-13(EAN): 9781681736303 Издательство: Mare Nostrum (Eurospan) Цена: 103490.00 T Наличие на складе: Нет в наличии. Описание:
Micro-videos, a new form of user-generated content, have been spreading widely across various social platforms, such as Vine, Kuaishou, and TikTok.
Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to their brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm. The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for high-order micro-video understanding.
Micro-video understanding is, however, non-trivial due to the following challenges: (1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of venue categories to guide micro-video analysis; (3) how to alleviate the influence of low quality caused by complex surrounding environments and camera shake; (4) how to model multimodal sequential data, i.e. textual, acoustic, visual, and social modalities to enhance micro-video understanding; and (5) how to construct large-scale benchmark datasets for analysis. These challenges have been largely unexplored to date.
In this book, we focus on addressing the challenges presented above by proposing some state-of-the-art multimodal learning theories. To demonstrate the effectiveness of these models, we apply them to three practical tasks of micro-video understanding: popularity prediction, venue category estimation, and micro-video routing. Particularly, we first build three large-scale real-world micro-video datasets for these practical tasks. We then present a multimodal transductive learning framework for micro-video popularity prediction. Furthermore, we introduce several multimodal cooperative learning approaches and a multimodal transfer learning scheme for micro-video venue category estimation. Meanwhile, we develop a multimodal sequential learning approach for micro-video recommendation. Finally, we conclude the book and figure out the future research directions in multimodal learning toward micro-video understanding.
Автор: Soumya Ranjan Nayak, Jibitesh Mishra Название: Examining Fractal Image Processing and Analysis ISBN: 1799800679 ISBN-13(EAN): 9781799800675 Издательство: Mare Nostrum (Eurospan) Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well as recent trends in other soft computing techniques. Featuring research on topics such as image compression, pattern matching, and artificial neural networks, this book is ideally designed for system engineers, computer engineers, professionals, academicians, researchers, and students seeking coverage on problem-oriented processing techniques and imaging technologies.
Автор: Suresh Kumar Nagarajan, R. Mohanasundaram Название: Handbook of Research on Recent Developments in Image Processing and Applications ISBN: 1799802221 ISBN-13(EAN): 9781799802228 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 830670.00 T Наличие на складе: Нет в наличии. Описание: Presents research on the latest advances of bio-inspired computation and nature-motivated algorithms within imaging methods. The book features a range of topics, including graphic systems, pictorial databases, and 3D imaging.
Автор: Soumya Ranjan Nayak, Jibitesh Mishra Название: Examining Fractal Image Processing and Analysis ISBN: 1799800660 ISBN-13(EAN): 9781799800668 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 219910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis.
Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well as recent trends in other soft computing techniques. Featuring research on topics such as image compression, pattern matching, and artificial neural networks, this book is ideally designed for system engineers, computer engineers, professionals, academicians, researchers, and students seeking coverage on problem-oriented processing techniques and imaging technologies.
Автор: Athanasios Voulodimos, Anastasios Doulamis Название: Recent Advances in 3D Imaging, Modeling, and Reconstruction ISBN: 1522552944 ISBN-13(EAN): 9781522552949 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 174630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field.
Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.
Автор: Hallam Julia, Roberts Les Название: Locating the Moving Image: New Approaches to Film and Place ISBN: 0253010977 ISBN-13(EAN): 9780253010971 Издательство: Wiley EDC Рейтинг: Цена: 80080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Leading scholars in the interdisciplinary field of geo-spatial visual studies examine the social experience of cinema and the different ways in which film production developed as a commercial enterprise, as a leisure activity, and as modes of expression and communication. Their research charts new pathways in mapping the relationship between film production and local film practices, theatrical exhibition circuits and cinema going, creating new forms of spatial anthropology. Topics include cinematic practices in rural and urban communities, development of cinema by amateur filmmakers, and use of GIS in mapping the spatial development of film production and cinema going as social practices.
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