Mining Multimedia Documents

Nonfiction, Science & Nature, Technology, Imaging Systems, Computers, Database Management
Cover of the book Mining Multimedia Documents by Wahiba Ben Abdessalem Karaa, Nilanjan Dey, CRC Press
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Author: Wahiba Ben Abdessalem Karaa, Nilanjan Dey ISBN: 9781315399720
Publisher: CRC Press Publication: April 21, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Wahiba Ben Abdessalem Karaa, Nilanjan Dey
ISBN: 9781315399720
Publisher: CRC Press
Publication: April 21, 2017
Imprint: Chapman and Hall/CRC
Language: English

The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.

Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.

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The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.

Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.

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