What is it about?

Traditionally, multimedia was related to a form of communication that combines data forms such as text, audio, images, animations of video in an interactive presentation. Traditional media data structures followed a simple and purpose specific design, storing relational databases in a tabular row and column. Modern multimedia data structures follow polymorphic design, where data entries from IoT apps, web sites, social networks, mobile devices, enhanced with artificial intelligence (AI), and coupled with object-oriented programming. Big data usually includes terabytes or even zettabytes of structured, semi-structured and unstructured data, generated by human-machine interactions and processes.

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Why is it important?

With the increased digitalisation of our society, new and emerging forms of data present new values and opportunities for improved data driven multimedia services. AI with deep learning (DL) and machine learning (ML) algorithms can analyse big data and derive understanding on events that occurred, and/or as they happen in real-time, and even forecast future events, enabling decisions on strategic directions. Traditional relational databases would struggle to fit, capture, manage, and process big data with low latency. One recent example is the use of different media (e.g., wearables, social platforms) for the COVID-19 digital monitoring and decision making.


The results are somewhat unexpected. Despite the special relationship between the US and the UK, there is not much evidence of collaboration in research on this topic. Similarly, despite the negative media publicity on the current relationship between the US and China (and the US sanctions on China), the research on this topic seems to be growing strong. However, it would be interesting to repeat this exercise after a few years and compare the results. It is possible that the effect of the current US sanctions on China has not taken its full effect yet.

Dr Petar Radanliev
University of Oxford

Read the Original

This page is a summary of: New and emerging forms of data and technologies: literature and bibliometric review, Multimedia Tools and Applications, July 2022, Springer Science + Business Media,
DOI: 10.1007/s11042-022-13451-5.
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