ABSTRACT

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.

section I|17 pages

Motivation and Problem Definition

section II|87 pages

Text Mining Using NLP Techniques

section III|113 pages

Multimodal Document Mining

chapter 12|12 pages

Biological Data Mining:

Techniques and Applications

chapter 15|14 pages

Video-Image-Text Content Mining