Recent years have witnessed ever-increasing scale and complexity of multimedia collections. At the same time, a variety of big data management techniques and tools have been developed, primarily intended for business and logging data. An obvious question, which we attempt to answer in this chapter, is then: which of these big data storage and management techniques could apply to "big multimedia" applications? We first outline a generic architecture for large-scale multimedia systems, concluding that the main tasks of a big multimedia repository are: storing, processing, and serving media. We then focus on each of these tasks in turn, and discuss the applicable (big data) techniques and systems for each group. We conclude with a list of potential research directions towards web-scale multimedia applications.
|Title of host publication||Big Data Analytics for Large-Scale Multimedia Search|
|Editors||Stefanos Vrochidis, Benoit Huet, Edward Y. Chang, Ioannis Kompatsiaris|
|Number of pages||28|
|Publication date||18 Mar 2019|
|Publication status||Published - 18 Mar 2019|