Computational Intelligence for Multimedia Understanding

International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011, Revised Selected Papers

Häftad, Engelska, 2012

Av Emanuele Salerno, A. Enis Cetin, Ovidio Salvetti

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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;

Produktinformation

Utgivningsdatum2012-08-23
Mått155 x 235 x 14 mm
Vikt382 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor235
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642324352

Tillhör följande kategorier

Grafik och bildbehandling inom Data och it
Systemvetenskap och AI inom Data och it
Beräkning och matematisk analys inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.