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Computational Intelligence for Multimedia Understanding

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Cover of 'Computational Intelligence for Multimedia Understanding'

Table of Contents

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    Book Overview
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    Chapter 1 Learning an Ontology for Visual Tasks
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    Chapter 2 Ontology and Algorithms Integration for Image Analysis
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    Chapter 3 EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data
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    Chapter 4 A Bayesian Active Learning Framework for a Two-Class Classification Problem
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    Chapter 5 Unsupervised Classification of SAR Images Using Hierarchical Agglomeration and EM
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    Chapter 6 Geometrical and Textural Component Separation with Adaptive Scale Selection
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    Chapter 7 Bayesian Shape from Silhouettes
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    Chapter 8 Shape Retrieval and Recognition on Mobile Devices
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    Chapter 9 Directionally Selective Fractional Wavelet Transform Using a 2-D Non-separable Unbalanced Lifting Structure
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    Chapter 10 Visible and Infrared Image Registration Employing Line-Based Geometric Analysis
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    Chapter 11 Texture Recognition Using Robust Markovian Features
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    Chapter 12 A Plausible Texture Enlargement and Editing Compound Markovian Model
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    Chapter 13 Bidirectional Texture Function Simultaneous Autoregressive Model
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    Chapter 14 Analysis of Human Gaze Interactions with Texture and Shape
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    Chapter 15 Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes
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    Chapter 16 Labeling TV Stream Segments with Conditional Random Fields
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    Chapter 17 Foreground Objects Segmentation for Moving Camera Scenarios Based on SCGMM
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    Chapter 18 Real Time Image Analysis for Infomobility
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    Chapter 19 Tracking the Saliency Features in Images Based on Human Observation Statistics
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