Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Human-Activity Analysis in Multimedia Data | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 293453 2 pages doi 2008 293453 Editorial Human-Activity Analysis in Multimedia Data A. Enis Cetin 1 Eric Pauwels 2 and Ovidio Salvetti3 1 Department of Electrical and Electronics Engineering Bilkent University Ankara 06800 Turkey 2 Signals and Images Research Group Centre for Mathematics and Computer Science CWI 1098 SJ Amsterdam The Netherlands 3 Institute of Information Science and Technologies ISTI Italian National Research Council CNR 56124 Pisa Italy Correspondence should be addressed to A. Enis Cetin cetin@ Received 11 November 2007 Accepted 11 November 2007 Copyright 2008 A. Enis Cetin et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Many important applications in multimedia revolve around the detection of humans and the interpretation of their behavior. These include surveillance and intrusion detection video conferencing applications assisted living applications and automatic analysis of sports videos broadcasts and movies to name just a few. Success in these tasks often requires the integration of various sensor or data modalities such as video audio motion and accompanying text and typically hinges on a host of machine-learning methodologies to handle the inherent variability and complexity of the ensuing features. The computational efficiency of the resulting algorithms is critical since the amount of data to be processed in multimedia applications is typically large and in real-time systems speed is of the essence. There have been several recent special issues dealing with the dection of humans and the analysis of their activity relying solely on video footage. In this special issue we have tried to provide a platform to contributions that make use of a broader .
