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Deep Network Design for Medical Image Computing: Principles and
Applications covers a range of MIC tasks and discusses design
principles of these tasks for deep learning approaches in medicine.
These include skin disease classification, vertebrae identification
and localization, cardiac ultrasound image segmentation, 2D/3D
medical image registration for intervention, metal artifact
reduction, sparse-view artifact reduction, etc. For each topic, the
book provides a deep learning-based solution that takes into
account the medical or biological aspect of the problem and how the
solution addresses a variety of important questions surrounding
architecture, the design of deep learning techniques, when to
introduce adversarial learning, and more. This book will help
graduate students and researchers develop a better understanding of
the deep learning design principles for MIC and to apply them to
their medical problems.
This timely text/reference presents the latest advances in various
aspects of social media modeling and social media computing
research. Gathering together superb research from a range of
established international conferences and workshops, the editors
coherently organize and present each of the topics in relation to
the basic principles and practices of social media modeling and
computing. Individual chapters can be also be used as
self-contained references on the material covered. Topics and
features: presents contributions from an international selection of
preeminent experts in the field; discusses topics on social-media
content analysis; examines social-media system design and analysis,
and visual analytic tools for event analysis; investigates access
control for privacy and security issues in social networks;
describes emerging applications of social media, for music
recommendation, automatic image annotation, and the analysis and
improvement of photo-books.
Consumer electronics (CE) devices, providing multimedia
entertainment and enabling communication, have become ubiquitous in
daily life. However, consumer interaction with such equipment
currently requires the use of devices such as remote controls and
keyboards, which are often inconvenient, ambiguous and
non-interactive. An important challenge for the modern CE industry
is the design of user interfaces for CE products that enable
interactions which are natural, intuitive and fun. As many CE
products are supplied with microphones and cameras, the
exploitation of both audio and visual information for interactive
multimedia is a growing field of research. Collecting together
contributions from an international selection of experts, including
leading researchers in industry, this unique text presents the
latest advances in applications of multimedia interaction and user
interfaces for consumer electronics. Covering issues of both
multimedia content analysis and human-machine interaction, the book
examines a wide range of techniques from computer vision, machine
learning, audio and speech processing, communications, artificial
intelligence and media technology. Topics and features: introduces
novel computationally efficient algorithms to extract semantically
meaningful audio-visual events; investigates modality allocation in
intelligent multimodal presentation systems, taking into account
the cognitive impacts of modality on human information processing;
provides an overview on gesture control technologies for CE;
presents systems for natural human-computer interaction, virtual
content insertion, and human action retrieval; examines techniques
for 3D face pose estimation, physical activity recognition, and
video summary quality evaluation; discusses the features that
characterize the new generation of CE and examines how web services
can be integrated with CE products for improved user experience.
This book is an essential resource for researchers and
practitioners from both academia and industry working in areas of
multimedia analysis, human-computer interaction and interactive
user interfaces. Graduate students studying computer vision,
pattern recognition and multimedia will also find this a useful
reference.
The authors survey a recent technique in computer vision called
Interactive Co-segmentation, which is the task of simultaneously
extracting common foreground objects from multiple related images.
They survey several of the algorithms, present underlying common
ideas, and give an overview of applications of object
co-segmentation.
This timely text/reference presents the latest advances in various
aspects of social media modeling and social media computing
research. Gathering together superb research from a range of
established international conferences and workshops, the editors
coherently organize and present each of the topics in relation to
the basic principles and practices of social media modeling and
computing. Individual chapters can be also be used as
self-contained references on the material covered. Topics and
features: presents contributions from an international selection of
preeminent experts in the field; discusses topics on social-media
content analysis; examines social-media system design and analysis,
and visual analytic tools for event analysis; investigates access
control for privacy and security issues in social networks;
describes emerging applications of social media, for music
recommendation, automatic image annotation, and the analysis and
improvement of photo-books.
Consumer electronics (CE) devices, providing multimedia
entertainment and enabling communication, have become ubiquitous in
daily life. However, consumer interaction with such equipment
currently requires the use of devices such as remote controls and
keyboards, which are often inconvenient, ambiguous and
non-interactive. An important challenge for the modern CE industry
is the design of user interfaces for CE products that enable
interactions which are natural, intuitive and fun. As many CE
products are supplied with microphones and cameras, the
exploitation of both audio and visual information for interactive
multimedia is a growing field of research. Collecting together
contributions from an international selection of experts, including
leading researchers in industry, this unique text presents the
latest advances in applications of multimedia interaction and user
interfaces for consumer electronics. Covering issues of both
multimedia content analysis and human-machine interaction, the book
examines a wide range of techniques from computer vision, machine
learning, audio and speech processing, communications, artificial
intelligence and media technology. Topics and features: introduces
novel computationally efficient algorithms to extract semantically
meaningful audio-visual events; investigates modality allocation in
intelligent multimodal presentation systems, taking into account
the cognitive impacts of modality on human information processing;
provides an overview on gesture control technologies for CE;
presents systems for natural human-computer interaction, virtual
content insertion, and human action retrieval; examines techniques
for 3D face pose estimation, physical activity recognition, and
video summary quality evaluation; discusses the features that
characterize the new generation of CE and examines how web services
can be integrated with CE products for improved user experience.
This book is an essential resource for researchers and
practitioners from both academia and industry working in areas of
multimedia analysis, human-computer interaction and interactive
user interfaces. Graduate students studying computer vision,
pattern recognition and multimedia will also find this a useful
reference.
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