Multimedia Data Mining and Knowledge Discovery

By: Valery A. Petrushin (Editor), Latifur Khan (Editor)

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Hardcover | 1 January 2007

At a Glance

Hardcover
548 Pages

Dimensions(cm)
23.5 x 15.88 x 3.18

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From the contents Introduction.- Introduction into Multimedia Data Mining and Knowledge Discovery.- Multimedia Data Exploration and Visualization.- Multi-Resolution Clustering of Time Series and Application to Images.- Mining Rare and Frequent Events in Multi-camera Surveillance Video.- Visual Mining through Cluster Hierarchies.- Multimedia Data Indexing and Retrieval.- Context Enforcement for Enhancing Semantic Multimedia Content Detection.- New image retrieval principle: Image mining and visual ontology.- Automating the Construction of Scene Classifiers for Content-Based Video Retrieval.- Multimedia Data Modeling and Evaluation.- Video Event Mining via Multimodal Content Analysis and Classification.- Structure-based Mining of Hierarchical Data from Multiple Sources.- A Machine Learning Approach to Expressive Performance in Jazz Standards.- Applications and Case Studies.- Video Data Mining: Mining Semantic Rules from Raw Level Metadata in a Movie.- Multiple-Camera People Localization in an Indoor Environment.

Industry Reviews

From the reviews:

"The editors make a cogent argument in their preface as to the critical need for books such as this; namely, with the ever-decreasing costs and inversely proportional increasing size of storage and memory chips, massive multimedia (and speech) collections are no longer the sole domain of professional studios... This book brings to light the great variety of technologies and applications for multimedia data mining and is sure to be of interest to academic researchers and industrial practitioners alike." (Michael Goldberg, ACM Computing Reviews, Vol. 49 (11), November 2008)

"The book ... cover the broad area of multimedia data mining and knowledge discovery. It consists of five parts in 25 chapters. In each chapter, leading researchers from academia or industry report their research work on selected topics, which are extended from papers presented at the Multimedia Data Mining Workshops in 2003 and 2004. ... the book is suitable for scientists, engineers, and senior graduate students who work in related fields." (Jie Yu, Journal of Electronic Imaging, Vol. 17 (4), October-December, 2008)

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Graphical & Digital Media Applications Data Capture & Analysis Computer Science Information Technology General Issue

Introduction into multimedia data mining and knowledge discovery	p. 3
Multimedia data mining : an overview	p. 14
A new hierarchical approach for image clustering	p. 41
Multiresolution clustering of time series and application to images	p. 58
Mining rare and frequent events in multi-camera surveillance video	p. 80
Density-based data analysis and similarity search	p. 94
Feature selection for classification of variable length multiattribute motions	p. 116
FAST : fast and semantics-tailored image retrieval	p. 141
New image retrieval principle : image mining and visual ontology	p. 168
Visual alphabets : video classification by end users	p. 185
Cognitively motivated novelty detection in video data streams	p. 209
Video event mining via multimodal content analysis and classification	p. 234
Identifying mappings in hierarchical media data	p. 259
A novel framework for semantic image classification and benchmark via salient objects	p. 291
Extracting semantics through dynamic context	p. 307
Mining image content by aligning entropies with an exemplar	p. 325
More efficient mining over heterogeneous data using neural expert networks	p. 340
A data mining approach to expressive music performance modeling	p. 362
Supporting virtual workspace design through media mining and reverse engineering	p. 383
A time-constrained sequential pattern mining for extracting semantic events in videos	p. 404
Multiple-sensor people localization in an office environment	p. 427
Multimedia data mining framework for banner images	p. 448
Analyzing user's behavior on a video database	p. 458
On SVD-free latent semantic indexing for Iris recognition of large databases	p. 472
Mining knowledge in computer tomography image databases	p. 487
Table of Contents provided by Blackwell. All Rights Reserved.

Multimedia Data Mining and Knowledge Discovery

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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