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| Title | Introduction To Multimedia Big Data Computing For Iot |
|---|---|
| ID_Doc | 33275 |
| Authors | Sharmila; Kumar D.; Kumar P.; Ashok A. |
| Year | 2020 |
| Published | Intelligent Systems Reference Library, 163 |
| DOI | http://dx.doi.org/10.1007/978-981-13-8759-3_1 |
| Abstract | The headway of new technology, the Internet of Things (IoT) assumes an active and central role in smart homes, wearable gadgets, agricultural machinery, retail analytics, engagement on energy resources, and healthcare. The boom of the internet and mobility support this proliferation in all these smart things, and massive production of multimedia big data of different formats (such as images, videos, and audios) daily. Multimedia applications and services provide more opportunities to compute multimedia big data. Most of the data generated from IoT devices such as a sensor in the devices, actuators, home appliances, and social media. In the near future, IoT will have a significant impact in broader domains such as healthcare, smart energy grids and smart cities in the name of IoT big data applications. More research work has been carried out in the multimedia big data in the different aspects such as acquisition of data, storage, mining, security, and retrieval of data. However, a few research work offers a comprehensive survey of the multimedia big data computing for IoT. This chapter addresses the gap between multimedia big data challenges in IoT, and multimedia big data solutions by offering the present multimedia big data framework, their advantages, and limitations of the existing techniques, and the potential applications in IoT. It also presents a comprehensive overview of the multimedia big data computing for IoT applications, fundamental challenges, and research openings for multimedia big data era. © 2020, Springer Nature Singapore Pte Ltd. |
| Author Keywords | Big data; Data computing; Internet of things; Multimedia data; Unstructured data |
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