Computational Intelligence for Multimedia Understanding: International Workshop, Muscle 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics)

Salerno, Emanuele (Editor) / Cetin, A. Enis (Editor) / Salvetti, Ovidio (Editor)

ISBN 10: 3642324355 / ISBN 13: 9783642324352

Published by Springer, 2012

About this Item

2012 edition. 247 pages. 9.25x6.25x0.50 inches. In Stock.

Seller Inventory # x-3642324355

Bibliographic Details

• Title: Computational Intelligence for Multimedia Understanding: International Workshop, Muscle 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers (Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics)
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 3642324355
• ISBN 13: 9783642324352
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

This book constitutes the refereed proceedings of the International Workshop MUSCLE 2011 on Computational Intelligence for Multimedia Understanding, organized by the ERCIM working group in Pisa, Italy on December 2011. The 18 revised full papers were carefully reviewed and selected from over numerous submissions. The papers cover the following topics: multisensor systems, multimodal analysis, crossmodel data analysis and clustering, mixed-reality applications, activity and object detection and recognition, text and speech recognition, multimedia labelling, semantic annotation, and metadata, multimodal indexing and searching in very large data-bases; and case studies.

From the Back Cover

This book constitutes the refereed proceedings of the International Workshop MUSCLE 2011 on Computational Intelligence for Multimedia Understanding, organized by the ERCIM working group in Pisa, Italy on December 2011.

The 18 revised full papers were carefully reviewed and selected from over numerous submissions. The papers cover the following topics: multisensor systems, multimodal analysis, crossmodal data analysis and clustering, mixed-reality applications, activity and object detection and recognition, text and speech recognition, multimedia labeling, semantic annotation, and metadata, multimodal indexing and searching in very large data-bases; and case studies.