Computational Intelligence for Multimedia Understanding

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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.

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Klappentext

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.


Inhalt
Learning an Ontology for Visual Tasks.- Ontology and Algorithms Integration for Image Analysis.- EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data.- A Bayesian Active Learning Framework for a Two-Class Classification Problem.- Unsupervised Classification of SAR Images Using Hierarchical Agglomeration and EM.- Geometrical and Textural Component Separation with Adaptive Scale Selection.- Bayesian Shape from Silhouettes.- Shape Retrieval and Recognition on Mobile Devices.- Directionally Selective Fractional Wavelet Transform Using a 2-D Non-separable Unbalanced Lifting Structure.- Visible and Infrared Image Registration Employing Line-Based Geometric Analysis.- Texture Recognition Using Robust Markovian Features.- A Plausible Texture Enlargement and Editing Compound Markovian Mode.- Bidirectional Texture Function Simultaneous Autoregressive Model.- Analysis of Human Gaze Interactions with Texture and Shape.- Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes.- Labeling TV Stream Segments with Conditional Random Fields.- Foreground Objects Segmentation for Moving Camera Scenarios Based on SCGMM.- Real Time Image Analysis for Infomobilit.- Tracking the Saliency Features in Images Based on Human Observation Statistics.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642324352
    • Auflage 2012
    • Editor Emanuele Salerno, Ovidio Salvetti, A. Enis Cetin
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T14mm
    • Jahr 2012
    • EAN 9783642324352
    • Format Kartonierter Einband
    • ISBN 3642324355
    • Veröffentlichung 23.08.2012
    • Titel Computational Intelligence for Multimedia Understanding
    • Untertitel International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers
    • Gewicht 382g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 248
    • Lesemotiv Verstehen

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