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International Journal of Multimedia Information Retrieval

Erschienen in:

01.10.2012 | Trends and Surveys

A study on video data mining

verfasst von: V. Vijayakumar, R. Nedunchezhian

Erschienen in: International Journal of Multimedia Information Retrieval | Ausgabe 3/2012

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Abstract

Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data. Thanks to the extensive use of information technology and the recent developments in multimedia systems, the amount of multimedia data available to users has increased exponentially. Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio. It is widely used in many major potential applications like security and surveillance, entertainment, medicine, education programs and sports. The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community. Compared to the mining of other types of data, video data mining is still in its infancy. There are many challenging research problems existing with video mining. Beginning with an overview of the video data-mining literature, this paper concludes with the applications of video mining.

Vorheriger Artikel New grand challenge for multimedia information retrieval: bridging the utility gap

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Titel: A study on video data mining
verfasst von: V. Vijayakumar
R. Nedunchezhian
Publikationsdatum: 01.10.2012
Verlag: Springer-Verlag
Erschienen in: International Journal of Multimedia Information Retrieval / Ausgabe 3/2012
Print ISSN: 2192-6611
Elektronische ISSN: 2192-662X
DOI: https://doi.org/10.1007/s13735-012-0016-2

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