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Computational Intelligence for Multimedia Understanding
. Ed(S): Salerno, Emanuele; Cetin, A. Enis; Salvetti, Ovidio
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Description for Computational Intelligence for Multimedia Understanding
Paperback. Editor(s): Salerno, Emanuele; Cetin, A. Enis; Salvetti, Ovidio. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 247 pages, 92 black & white illustrations, biography. BIC Classification: UG; UNF; UYA; UYQ; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 13. Weight in Grams: 354.
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.
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.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
247
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
235
Place of Publication
Berlin, Germany
ISBN
9783642324352
SKU
V9783642324352
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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