Liting Wang – författare
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This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods. It offers readers an in-depth understanding of how computational resources at both the source and the destination of the networking continuum can be exploited. This enhances the overall performance of multimedia data networking.
This book also presents novel designs and applications focusing on information delivery based on computing. It starts with an overview of the multimedia computational communications as well as spanning topics. The topics range in experience evaluation using electroencephalography, semantic knowledge bases with the next generation of multiple access, end-to-end semantic communication framework and cloud-edge-end intelligent coordination computing. The authors believe this book offers readers a clear picture of the current state and the next steps in multimedia computational communication networks.
Graduate students majoring in the areas of communication networks, computer science and engineering and electrical engineering will find this book useful as a secondary text or reference book. Professionals and researchers working in computational transmission solutions for multimedia communication networks will find this book to be a valuable resource as well.
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This book provides a concise overview of intelligent technologies for vision and sensing, with a particular focus on their applications in various multispectral configurations, including safety monitoring in rural areas. Within the realm of intelligent perception and contemporary healthcare, the book emphasizes the real-time monitoring, analysis, and prediction of vital signals using biomedical optical sensors. This approach aims to offer more adaptable and personalized services within the medical health management domain. Furthermore, the book delves into the comprehensive comprehension of physiological signals and additional data sources, such as environmental and motion data. The goal is to enhance the breadth and depth of data analysis, providing more integrated support for the life and health sector. Additionally, the book explores the implementation of edge intelligence algorithms at the sensor level to enable real-time analysis, enhancing the efficiency of sensor data processing and utilization. Detailed explanations of the configuration and deployment of an active vision camera system featuring an integrated edge algorithm are provided to elucidate the coordination and communication mechanisms of edge intelligence technology across multiple edge devices. A specific application case is then presented—the universal camera jamming system—which underscores the benefits of intelligent sensing fusion for tasks such as attitude and position recognition, as well as self-feedback excitation jamming.
The book underscores the pervasive and seamless integration of smart sensing in both current and future lifestyles, spanning from active vision cameras to diverse applications across multiple spectrums. Its insights are poised to stimulate innovation and application within the realms of smart vision and sensing, including a comprehensive analysis of future healthcare paradigms.