Ebook: Algorithms in Ambient Intelligence

The advent of the digital era, the Internet, and the development of fast com­ puting devices that can access mass storage servers at high communication bandwidths have brought within our reach the world of ambient intelligent systems. These systems provide users with information, communication, and entertainment at any desired place and time. Since its introduction in 1998, the vision of Ambient Intelligence has attracted much attention within the re­ search community. Especially, the need for intelligence generated by smart al­ gorithms, which run on digital platforms that are integrated into consumer elec­ tronics devices, has strengthened the interest in Computational Intelligence. This newly developing research field, which can be positioned at the inter­ section of computer science, discrete mathematics, and artificial intelligence, contains a large variety of interesting topics including machine learning, con­ tent management, vision, speech, data mining, content augmentation, profiling, contextual awareness, feature extraction, resource management, security, and privacy.

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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.

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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.
Content:
Front Matter....Pages i-xviii
Algorithms in Ambient Intelligence....Pages 1-19
Front Matter....Pages 21-21
Multimodality and Ambient Intelligence....Pages 23-53
From Stereotypes to Personal Profiles Via Viewer Feedback....Pages 55-69
Cubyhum: Algorithms for Query by Humming....Pages 71-87
Personalized Multimedia Summarization....Pages 89-111
Features for Audio Classification....Pages 113-129
Information Retrieval in the Audio Domain....Pages 131-150
Approaches in Machine Learning....Pages 151-166
Machine Learning for Ambient Intelligence: Boosting in Automatic Speech Recognition....Pages 167-183
Exchange Clustering and Em Algorithm for Phrase Classification in Telephony Applications....Pages 185-197
Front Matter....Pages 199-199
Algorithms for Audio and Video Fingerprinting....Pages 201-219
Near Video-On-Demand with Limited Client Bandwidth and Distributed Servers....Pages 221-237
Methods to Optimally Trade Bandwidth Against Buffer Size for a VBR Stream....Pages 239-258
Dynamic Control of Scalable Media Processing Applications....Pages 259-276
Saving Energy in Portable Multimedia Storage....Pages 277-290
Storage of VBR Video Content on a Multi-Zone Recording Disk Based on Resource Usage....Pages 291-310
Test Resource Management and Scheduling for Modular Manufacturing Test of SOCs....Pages 311-336
Back Matter....Pages 337-341

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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.
Content:
Front Matter....Pages i-xviii
Algorithms in Ambient Intelligence....Pages 1-19
Front Matter....Pages 21-21
Multimodality and Ambient Intelligence....Pages 23-53
From Stereotypes to Personal Profiles Via Viewer Feedback....Pages 55-69
Cubyhum: Algorithms for Query by Humming....Pages 71-87
Personalized Multimedia Summarization....Pages 89-111
Features for Audio Classification....Pages 113-129
Information Retrieval in the Audio Domain....Pages 131-150
Approaches in Machine Learning....Pages 151-166
Machine Learning for Ambient Intelligence: Boosting in Automatic Speech Recognition....Pages 167-183
Exchange Clustering and Em Algorithm for Phrase Classification in Telephony Applications....Pages 185-197
Front Matter....Pages 199-199
Algorithms for Audio and Video Fingerprinting....Pages 201-219
Near Video-On-Demand with Limited Client Bandwidth and Distributed Servers....Pages 221-237
Methods to Optimally Trade Bandwidth Against Buffer Size for a VBR Stream....Pages 239-258
Dynamic Control of Scalable Media Processing Applications....Pages 259-276
Saving Energy in Portable Multimedia Storage....Pages 277-290
Storage of VBR Video Content on a Multi-Zone Recording Disk Based on Resource Usage....Pages 291-310
Test Resource Management and Scheduling for Modular Manufacturing Test of SOCs....Pages 311-336
Back Matter....Pages 337-341
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