Abstract
This chapter explores the field of Multimedia Big Data management and retrieval. Multimedia data is a major contributor to the big data bubble. Therefore, we require separate databases for storing and managing it, hence, the chapter covers all the requirements of a Multimedia DBMS. Multimedia data modelling has also been covered since multimedia data is mostly unstructured. Further, the chapter covers the annotation and indexing techniques that help manage the large amount of multimedia data and finally followed by a detailed description about different databases that can be used for storing, managing and retrieving the Multimedia Big Data. Different databases such as SQL and No-SQL approaches are discussed such as Graph, Key-Value DBs, Column Family, Spatio-temporal Databases.
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Devgan, M., Sharma, D.K. (2020). Large-Scale MMBD Management and Retrieval. 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_9
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DOI: https://doi.org/10.1007/978-981-13-8759-3_9
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