Disruptive innovation: Large scale multimedia data mining

2Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter gives an overview of multimedia data processing history as a sequence of disruptive innovations and identifies the trends of its future development. Multimedia data processing and mining penetrates into all spheres of human life to improve efficiency of businesses and governments, facilitate social interaction, enhance sporting and entertainment events, and moderate further innovations in science, technology and arts. The disruptive innovations in mobile, social, cognitive, cloud and organic based computing will enable the current and future maturation of multimedia data mining. The chapter concludes with an overview of the other chapters included in the book.

Cite

CITATION STYLE

APA

Baughman, A. K., Gao, J., Pan, J. Y., & Petrushin, V. A. (2015). Disruptive innovation: Large scale multimedia data mining. In Multimedia Data Mining and Analytics: Disruptive Innovation (pp. 1–29). Springer International Publishing. https://doi.org/10.1007/978-3-319-14998-1_1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free