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

Verlag: Springer, 2012

Beschreibung

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

Bestandsnummer des Verkäufers x-3642324355

Bibliografische Details

• Titel: 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)
• Verlag: Springer
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 3642324355
• ISBN-13: 9783642324352
• Einband: Paperback
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.