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Multimedia Data Processing and Analysis in IoT

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

The chapter explores the transformative role of multimedia data in the Internet of Things (IoT), focusing on the integration and processing of images, video, audio, and sensor data to create more intelligent and responsive applications. It begins by examining the various types of multimedia data in IoT, including visual data from cameras and drones, audio data from microphones, and sensor data from environmental and motion sensors. The chapter delves into the sources of multimedia data, such as smart cameras, wearable devices, and environmental sensors, highlighting their applications in surveillance, healthcare, and smart cities. Key technologies in multimedia data processing are discussed, including data acquisition, edge computing, data storage, and transmission protocols. The chapter also addresses the challenges in processing multimedia data in IoT, such as high data volume, limited bandwidth, energy constraints, and privacy concerns. It concludes with an exploration of future trends and research directions, including the role of 5G, AI integration, edge AI, and emerging technologies like quantum computing and federated learning. The chapter provides a comprehensive overview of the current state and future potential of multimedia data processing in IoT, making it an essential read for anyone interested in the intersection of multimedia and IoT technologies.

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Title
Multimedia Data Processing and Analysis in IoT
Authors
Ganga Rama Koteswara Rao
D. Rajendra Prasad
Suneel Miriyala
Ravindra Janga
F. Ajesh
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-96-4356-1_4
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