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Engineering - Computational Intelligence and Complexity | Intelligent Interactive Multimedia: Systems and Services - Proceedings of the 5th International

Intelligent Interactive Multimedia: Systems and Services

Proceedings of the 5th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS 2012)

Watanabe, T., Watada, J., Takahashi, N., Howlett, R.J., Jain, L.C. (Eds.)

2012, XII, 621 p. 315 illus., 193 illus. in color.

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  • Recent research in Intelligent Interactive Multimedia Systems and Services
  • Edited outcome of the KES-IIMSS 2012 conference held in Gifu, Japan on May 23-25 2012
  • Written by experts in the field

This volume contains the Proceedings of the 5th International Conference on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-12).  The Conference was jointly organised by Nagoya University in Japan and the KES International organisation, and held in the attractive city of Gifu.

 

The KES-IIMSS conference series, (series chairs Prof. Maria Virvou and Prof. George Tsihrintzis), presents novel research in various areas of intelligent multimedia system relevant to the development of a new generation of interactive, user-centric devices and systems.  The aim of the conference is to provide an internationally respected forum for scientific research in the technologies and applications of this new and dynamic research area.

Content Level » Research

Keywords » Computational Intelligence - Intelligent Interactive Multimedia Systems - Interactive Multimedia Services

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Information Systems and Applications

Table of contents 

From the content: A Decision Making for A Robot Based on Simple Interaction with Human.- A Fusion of Multiple Focuses on a Focus+Glue+Context Map.- A Map Matching Algorithm for Sharing Map Information among Refugees in Disaster Areas.- A Method for Supporting Presentation Planning Based on Presentation Strategies.- A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering.- A Traffic Flow Prediction Approach Based on Aggregated Information of Spatio-temporal Data Streams.- A Way for Color Image Enhancement under Complex Luminance Conditions.

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