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  1. Proceedings of the 1st ACM international workshop on Semantic ambient media experiences (SAME '08)
  2. Dynamic gain estimation in ambient media services
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Semantic ambient media experiences same 2008 pre-workshop review (NAMU series)
Mid-air displays enabling novel user interfaces
Information overload: a collaborative dance performance
Ambient music experience in real and virtual worlds using audio similarity
Towards environment-to-environment (E2E) multimedia communication systems
A case study for a multimedia program
Ambient media in public spaces
Creating ambient multimedia experience on-demand: opportunities, challenges and research models
Red light spotters: images-driven sound and rhythm landscape
Ambient assisted living: elderly people's needs and how to face them
Dynamic gain estimation in ambient media services
Virtual assistant: an artificial agent for enhancing content acquisition: how ambient media elicit information from humans

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Dynamic gain estimation in ambient media services

Content Provider ACM Digital Library
Author El Saddik, Abdulmotaleb Hossain, M. Anwar Atrey, Pradeep K.
Abstract This paper presents a mechanism for dynamically estimating the gain in ambient media services. Gain estimation is an attempt to measure the extent to which a certain media service is useful for a user in a particular context. Such a measure may provide invaluable support for personalizing a user's ambient environment through the selection of timely, context-aware and interesting media services. The proposed method considers multiple factors including the user's profile, context, media reputation, and the interaction history to dynamically estimate the gain of a service. The gain estimation method has been incorporated in a prototype smart mirror system in a smart environment setting. Experimental results demonstrate the suitability of the proposed method.
Starting Page 49
Ending Page 56
Page Count 8
File Format PDF
ISBN 9781605583143
DOI 10.1145/1461912.1461922
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-10-31
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Personalization Gain estimation Ambient intelligence Ambient media
Content Type Text
Resource Type Article
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