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Introduction to Multimedia Big Data Computing for IoT

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Multimedia Big Data Computing for IoT Applications

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 163))

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.

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Authors and Affiliations

  1. Department of Computer Science Engineering, Krishna Engineering College, Ghaziabad, 201007, Uttar Pradesh, India

    Sharmila, Dhananjay Kumar & Pramod Kumar

  2. Women Institue of Technology, Dehradun, Uttarakhand Technical University, Dehradun, Uttarakhand, India

    Alaknanda Ashok

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  1. Sharmila
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  2. Dhananjay Kumar
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  3. Pramod Kumar
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  4. Alaknanda Ashok
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Correspondence to Sharmila .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  2. Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India

    Sudhanshu Tyagi

  3. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, Patiala, Punjab, India

    Neeraj Kumar

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Sharmila, Kumar, D., Kumar, P., Ashok, A. (2020). Introduction to Multimedia Big Data Computing for IoT. In: Tanwar, S., Tyagi, S., Kumar, N. (eds) Multimedia Big Data Computing for IoT Applications. Intelligent Systems Reference Library, vol 163. Springer, Singapore. https://doi.org/10.1007/978-981-13-8759-3_1

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