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Wireless Multimedia Sensor Networks on Reconfigurable Hardware - Information Reduction Techniques (Paperback, Softcover reprint... Wireless Multimedia Sensor Networks on Reconfigurable Hardware - Information Reduction Techniques (Paperback, Softcover reprint of the original 1st ed. 2013)
Li-Minn Ang, Kah Phooi Seng, Li Wern Chew, Lee Seng Yeong, Wai Chong Chia
R2,478 Discovery Miles 24 780 Ships in 10 - 15 working days

Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs). This introduces practical and research challenges, because multimedia sensors, particularly image sensors, generate huge amounts of data to be processed and distributed within the network, while sensor nodes have restricted battery power and hardware resources. This book describes how reconfigurable hardware technologies such as field-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms and architectures for information reduction, including event detection, event compression, and multicamera processing for hardware implementations. The authors include a comprehensive review of wireless multimedia sensor networks, a complete specification of a very low-complexity, low-memory FPGA WMSN node processor, and several case studies that illustrate information reduction algorithms for visual event compression, detection, and fusion. The book will be of interest to academic researchers, R&D engineers, and computer science and engineering graduate students engaged with signal and video processing, computer vision, embedded systems, and sensor networks.

Wireless Multimedia Sensor Networks on Reconfigurable Hardware - Information Reduction Techniques (Hardcover, 2013 ed.):... Wireless Multimedia Sensor Networks on Reconfigurable Hardware - Information Reduction Techniques (Hardcover, 2013 ed.)
Li-Minn Ang, Kah Phooi Seng, Li Wern Chew, Lee Seng Yeong, Wai Chong Chia
R2,726 Discovery Miles 27 260 Ships in 10 - 15 working days

Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs). This introduces practical and research challenges, because multimedia sensors, particularly image sensors, generate huge amounts of data to be processed and distributed within the network, while sensor nodes have restricted battery power and hardware resources. This book describes how reconfigurable hardware technologies such as field-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms and architectures for information reduction, including event detection, event compression, and multicamera processing for hardware implementations. The authors include a comprehensive review of wireless multimedia sensor networks, a complete specification of a very low-complexity, low-memory FPGA WMSN node processor, and several case studies that illustrate information reduction algorithms for visual event compression, detection, and fusion. The book will be of interest to academic researchers, R&D engineers, and computer science and engineering graduate students engaged with signal and video processing, computer vision, embedded systems, and sensor networks.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications (Hardcover, 1st ed. 2019): Kah Phooi Seng,... Multimodal Analytics for Next-Generation Big Data Technologies and Applications (Hardcover, 1st ed. 2019)
Kah Phooi Seng, Li-Minn Ang, Alan Wee-Chung Liew, Junbin Gao
R3,732 Discovery Miles 37 320 Ships in 12 - 17 working days

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Visual Information Processing in Wireless Sensor Networks - Technology, Trends and Applications (Hardcover): Li-Minn Ang, Kah... Visual Information Processing in Wireless Sensor Networks - Technology, Trends and Applications (Hardcover)
Li-Minn Ang, Kah Phooi Seng
R5,507 Discovery Miles 55 070 Ships in 10 - 15 working days

Wireless sensor networks (WSNs) have many applications ranging from environmental monitoring, security management, and medical applications to smart homes. Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications provides a central source of reference on visual information processing in wireless sensor network environments and its technology, application, and society issues. This book is an important resource for researchers and academics working in the interdisciplinary domains of wireless sensor network technology and multimedia technology and its related areas, which include image processing, pervasive computing, embedded systems, and computer networks.

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