Multimedia Mining: A Highway to Intelligent Multimedia Documents

✍ Scribed by Chabane Djeraba (auth.), Chabane Djeraba (eds.)

Publisher: Springer US
Year: 2003
Tongue: English
Leaves: 242
Series: Multimedia Systems and Applications Series 22
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.

Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

✦ Table of Contents

Front Matter....Pages i-xiv
Featured Chapters....Pages 1-6
IMET: Image Mining For Typhoon Analysis....Pages 7-25
Discovering Patterns With and Within Images....Pages 27-42
A System Supporting Semantics Retrieval....Pages 43-60
Techniques for Color-Based Image Retrieval....Pages 61-82
Recovering in Video Documents....Pages 83-112
Mining of Video Database....Pages 113-137
Medical Multimedia Databases....Pages 139-160
An Object Approach for Web Presentations....Pages 161-178
Web multiform data structuring....Pages 179-196
Media annotation....Pages 197-211
Audio Content-based Classification....Pages 213-228
Back Matter....Pages 229-231

✦ Subjects

Data Structures, Cryptology and Information Theory; Artificial Intelligence (incl. Robotics); Computer Imaging, Vision, Pattern Recognition and Graphics; Multimedia Information Systems

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