New Directions in Intelligent Interactive Multimedia

• Corporate Author: SpringerLink (Online service)
• Other Authors: Tsihrintzis, George A. (Editor), Virvou, Maria (Editor), Howlett, Robert J. (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 142
• Subjects: Engineering.; Computers.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Electrical engineering.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Communications Engineering, Networks.; Signal, Image and Speech Processing.; Information Systems and Communication Service.

This book summarizes the works and new research results presented at the First International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2008), organized by the University of Piraeus and its Department of Informatics in conjunction with KES International (Piraeus,...

Table of Contents:

• From the contents: Morphic Computing
• Amplifying Video Information-Seeking Success through Rich, Exploratory Interfaces
• Privacy-Enhanced Personalization
• Narrative Interactive Multimedia Learning Environments: Achievements and Challenges
• A Support Vector Machine Approach for Video Shot Detection
• Comparative performance evaluation of artificial neural network-based vs. human facial expression classifiers for facial expression recognition
• Histographic Steganographic System
• Moving Object Detection and Tracking for the Purpose of Multimodal Surveillance System in Urban Areas
• Image Similarity Search in Large Databases Using a Fast Machine Learning Approach
• Fast Segmentation of Ovarian Ultrasound Volumes Using Support Vector Machines and Sparse Learning Sets
• Fast and Intelligent Determination of Image Segmentation Method Parameters
• Fast image segmentation algorithm using wavelet transform
• Musical Instrument Category Discrimination Using Wavelet-based Source Separation.