Mining Multimedia Documents
Nonfiction, Science & Nature, Technology, Imaging Systems, Computers, Database Management
| 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.
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.
