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Year: 2004 Publisher: New York, NY : Springer US : Imprint: Springer,
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In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.
Lasers. --- Multimedia systems. --- Artificial intelligence. --- Electronic data processing --- Statistics. --- Computer vision. --- Laser. --- Multimedia Information Systems. --- Artificial Intelligence. --- IT Operations. --- Statistics. --- Computer Vision. --- Management.
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ISBN: 9783031502699 3031502698 Year: 2024 Publisher: Cham, Switzerland : Springer,
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Modeling Visual Aesthetics, Emotion, and Artistic Style offers a comprehensive exploration of the increasingly significant topic of the complex interplay between human perception and digital technology. It embodies the cumulative knowledge and efforts of a wide array of active researchers and practitioners from diverse fields including computer vision, affective computing, robotics, psychology, data mining, machine learning, art history, and movement analysis. This volume seeks to address the profound and challenging research questions related to the computational modeling and analysis of visual aesthetics, emotions, and artistic style, vital components of the human experience that are increasingly relevant in our digitally connected world. The book's vast scope encompasses a broad range of topics. The initial chapters lay a strong foundation with background knowledge on emotion models and machine learning, which then transitions into exploring social visual perception in humans and its technological applications. Readers will uncover the psychological and neurological foundations of social and emotional perception from faces and bodies. Subsequent sections broaden this understanding to include technology's role in detecting discrete and subtle emotional expressions, examining facial neutrality, and including research contexts that involve children as well as adults. Furthermore, the book illuminates the dynamic intersection of art and technology, the language of photography, the relationship between breath-driven robotic performances and human dance, and the application of machine learning in analyzing artistic styles. This book sets itself apart with its unique multidisciplinary approach, encouraging collaboration across related domains. Packed with comprehensive tutorials, theoretical reviews, novel methodologies, empirical investigations, and comparative analyses, the book offers a rich combination of knowledge and methodologies. The book's focus on cutting-edge research not only presents the latest developments in the field but also illuminates potential paths that can lead to significant advancements in computer and robotic applications.
Computer vision. --- Machine learning. --- Psychology. --- Aesthetics. --- Digital humanities. --- Computer Vision. --- Machine Learning. --- Psychology of Aesthetics. --- Digital Humanities. --- Human face recognition (Computer science)
Book
ISBN: 1475779305 Year: 2004 Publisher: New York, NY : Springer US : Imprint: Springer,
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In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.
Lasers. --- Multimedia systems. --- Artificial intelligence. --- Electronic data processing --- Statistics. --- Computer vision. --- Laser. --- Multimedia Information Systems. --- Artificial Intelligence. --- IT Operations. --- Statistics. --- Computer Vision. --- Management.
Book
Year: 2010 Publisher: [Place of publication not identified] : Association for Computing Machinery,
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ISBN: 1605588156 Year: 2010 Publisher: ACM
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Year: 2007 Publisher: [Place of publication not identified] ACM
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Year: 2006 Publisher: [Place of publication not identified] ACM
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