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This book is the outcome of a series of discussions at the Philips Symposium on Intelligent Algorithms, which was held in Eindhoven on December 2002. It contains many exciting and practical examples from this newly developing research field, which can be positioned at the intersection of computer science, discrete mathematics, and artificial intelligence. The examples include machine learning, content management, vision, speech, content augmentation, profiling, music retrieval, feature extraction, audio and video fingerprinting, resource management, multimedia servers, network scheduling, and IC design.
| Contributing Authors | ||
| Preface | ||
| Acknowledgments | ||
| 1 | Algorithms in Ambient Intelligence | 1 |
| 2 | Multimodality and Ambient Intelligence | 23 |
| 3 | From Stereotypes to Personal Profiles via Viewer Feedback | 55 |
| 4 | CubyHum: Algorithm for Query by Humming | 71 |
| 5 | Personalized Multimedia Summarization | 89 |
| 6 | Features for Audio Classification | 113 |
| 7 | Information Retrieval in the Audio Domain | 131 |
| 8 | Approaches in Machine Learning | 151 |
| 9 | Machine Learning for Ambient Intelligence: Boosting in Automatic Speech Recognition | 167 |
| 10 | Exchange Clustering and EM Algorithm for Phrase Classification in Telephony Applications | 185 |
| 11 | Algorithms for Audio and Video Fingerprinting | 201 |
| 12 | Near Video-on-Demand with Limited Client Bandwidth and Distributed Servers | 221 |
| 13 | Methods to Optimally Trade Bandwidth against Buffer Size for a VBR Stream | 239 |
| 14 | Dynamic Control of Scalable Media Processing Applications | 259 |
| 15 | Saving Energy in Portable Multimedia Storage | 277 |
| 16 | Storage of VBR Video Content on a Multi-Zone Recording Disk based on Resource Usage | 291 |
| 17 | Test Resource Management and Scheduling for Modular Manufacturing Test of SOCs | 311 |
| Index | 337 |
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