Ebook: Multimedia Data Mining and Knowledge Discovery

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.

Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Topics and Features:

• Features a comprehensive introduction to multimedia data mining and its relevance today

• Presents a global perspective of the field and its various components

• Provides broad, yet thorough and detailed coverage of the subject

• Numerous chapters reference websites with supplementary materials and demonstrations

• Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization

• Offers an entire part devoted to applications and case studies

Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

---

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.

Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Topics and Features:

• Features a comprehensive introduction to multimedia data mining and its relevance today

• Presents a global perspective of the field and its various components

• Provides broad, yet thorough and detailed coverage of the subject

• Numerous chapters reference websites with supplementary materials and demonstrations

• Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization

• Offers an entire part devoted to applications and case studies

Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

---

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.

Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Topics and Features:

• Features a comprehensive introduction to multimedia data mining and its relevance today

• Presents a global perspective of the field and its various components

• Provides broad, yet thorough and detailed coverage of the subject

• Numerous chapters reference websites with supplementary materials and demonstrations

• Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization

• Offers an entire part devoted to applications and case studies

Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

Content:
Front Matter....Pages I-XV
Front Matter....Pages I-XV
Introduction into Multimedia Data Mining and Knowledge Discovery....Pages 3-13
Multimedia Data Mining: An Overview....Pages 14-41
Front Matter....Pages I-XV
A New Hierarchical Approach for Image Clustering....Pages 41-57
Multiresolution Clustering of Time Series and Application to Images....Pages 58-79
Mining Rare and Frequent Events in Multi-camera Surveillance Video....Pages 80-93
Density-Based Data Analysis and Similarity Search....Pages 94-115
Feature Selection for Classification of Variable Length Multiattribute Motions....Pages 116-137
Front Matter....Pages I-XV
FAST: Fast and Semantics-Tailored Image Retrieval....Pages 141-167
New Image Retrieval Principle: Image Mining and Visual Ontology....Pages 168-184
Visual Alphabets: Video Classification by End Users....Pages 185-206
Front Matter....Pages I-XV
Cognitively Motivated Novelty Detection in Video Data Streams....Pages 209-233
Video Event Mining via Multimodal Content Analysis and Classification....Pages 234-258
Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data....Pages 259-290
A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects....Pages 291-306
Extracting Semantics Through Dynamic Context....Pages 307-324
Mining Image Content by Aligning Entropies with an Exemplar....Pages 325-339
More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks....Pages 340-361
A Data Mining Approach to Expressive Music Performance Modeling....Pages 362-380
Front Matter....Pages I-XV
Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering....Pages 383-403
A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos....Pages 404-426
Front Matter....Pages I-XV
Multiple-Sensor People Localization in an Office Environment....Pages 427-447
Multimedia Data Mining Framework for Banner Images....Pages 448-457
Analyzing User’s Behavior on a Video Database....Pages 458-471
On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases....Pages 472-486
Mining Knowledge in Computer Tomography Image Databases....Pages 487-508
Back Matter....Pages 509-521

---

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.

Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Topics and Features:

• Features a comprehensive introduction to multimedia data mining and its relevance today

• Presents a global perspective of the field and its various components

• Provides broad, yet thorough and detailed coverage of the subject

• Numerous chapters reference websites with supplementary materials and demonstrations

• Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization

• Offers an entire part devoted to applications and case studies

Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.

Content:
Front Matter....Pages I-XV
Front Matter....Pages I-XV
Introduction into Multimedia Data Mining and Knowledge Discovery....Pages 3-13
Multimedia Data Mining: An Overview....Pages 14-41
Front Matter....Pages I-XV
A New Hierarchical Approach for Image Clustering....Pages 41-57
Multiresolution Clustering of Time Series and Application to Images....Pages 58-79
Mining Rare and Frequent Events in Multi-camera Surveillance Video....Pages 80-93
Density-Based Data Analysis and Similarity Search....Pages 94-115
Feature Selection for Classification of Variable Length Multiattribute Motions....Pages 116-137
Front Matter....Pages I-XV
FAST: Fast and Semantics-Tailored Image Retrieval....Pages 141-167
New Image Retrieval Principle: Image Mining and Visual Ontology....Pages 168-184
Visual Alphabets: Video Classification by End Users....Pages 185-206
Front Matter....Pages I-XV
Cognitively Motivated Novelty Detection in Video Data Streams....Pages 209-233
Video Event Mining via Multimodal Content Analysis and Classification....Pages 234-258
Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data....Pages 259-290
A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects....Pages 291-306
Extracting Semantics Through Dynamic Context....Pages 307-324
Mining Image Content by Aligning Entropies with an Exemplar....Pages 325-339
More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks....Pages 340-361
A Data Mining Approach to Expressive Music Performance Modeling....Pages 362-380
Front Matter....Pages I-XV
Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering....Pages 383-403
A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos....Pages 404-426
Front Matter....Pages I-XV
Multiple-Sensor People Localization in an Office Environment....Pages 427-447
Multimedia Data Mining Framework for Banner Images....Pages 448-457
Analyzing User’s Behavior on a Video Database....Pages 458-471
On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases....Pages 472-486
Mining Knowledge in Computer Tomography Image Databases....Pages 487-508
Back Matter....Pages 509-521
....