Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding
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Published By Springer Berlin Heidelberg

9783642324352, 9783642324369

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Tracking the Saliency Features in Images Based on Human Observation Statistics

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_19 ◽

2012 ◽

pp. 219-233 ◽

Cited By ~ 1

Author(s):

Szilard Szalai ◽

Tamás Szirányi ◽

Zoltan Vidnyanszky

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Real Time Image Analysis for Infomobility

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_18 ◽

2012 ◽

pp. 207-218 ◽

Cited By ~ 2

Author(s):

Massimo Magrini ◽

Davide Moroni ◽

Gabriele Pieri ◽

Ovidio Salvetti

Keyword(s):

Image Analysis ◽

Real Time ◽

Real Time Image ◽

Time Image

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Texture Recognition Using Robust Markovian Features

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_11 ◽

2012 ◽

pp. 126-137 ◽

Cited By ~ 1

Author(s):

Pavel Vácha ◽

Michal Haindl

Keyword(s):

Texture Recognition

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Shape Retrieval and Recognition on Mobile Devices

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_8 ◽

2012 ◽

pp. 90-101 ◽

Cited By ~ 1

Author(s):

Levente Kovács

Keyword(s):

Mobile Devices ◽

Shape Retrieval

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Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_15 ◽

2012 ◽

pp. 172-182 ◽

Cited By ~ 1

Author(s):

Elisabet Carcel ◽

Manuel Martos ◽

Xavier Giró-i-Nieto ◽

Ferran Marqués

Keyword(s):

Automatic Annotation ◽

Rich Internet Application ◽

Internet Application

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EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_3 ◽

2012 ◽

pp. 30-41 ◽

Cited By ~ 2

Author(s):

Nikos Malandrakis ◽

Alexandros Potamianos ◽

Elias Iosif ◽

Shrikanth Narayanan

Keyword(s):

Multimedia Data

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A Bayesian Active Learning Framework for a Two-Class Classification Problem

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_4 ◽

2012 ◽

pp. 42-53 ◽

Cited By ~ 1

Author(s):

Pablo Ruiz ◽

Javier Mateos ◽

Rafael Molina ◽

Aggelos K. Katsaggelos

Keyword(s):

Active Learning ◽

Classification Problem ◽

Learning Framework

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Learning an Ontology for Visual Tasks

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_1 ◽

2012 ◽

pp. 1-16 ◽

Cited By ~ 1

Author(s):

Petra Perner

Keyword(s):

Visual Tasks

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Bayesian Shape from Silhouettes

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_7 ◽

2012 ◽

pp. 78-89 ◽

Cited By ~ 1

Author(s):

Donghoon Kim ◽

Rozenn Dahyot

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Geometrical and Textural Component Separation with Adaptive Scale Selection

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding ◽

10.1007/978-3-642-32436-9_6 ◽

2012 ◽

pp. 66-77 ◽

Cited By ~ 1

Author(s):

Tamás Szirányi ◽

Dániel Szolgay

Keyword(s):

Component Separation ◽

Scale Selection ◽

Textural Component

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Lecture Notes in Computer Science - Computational Intelligence for Multimedia UnderstandingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Tracking the Saliency Features in Images Based on Human Observation Statistics

Real Time Image Analysis for Infomobility

Texture Recognition Using Robust Markovian Features

Shape Retrieval and Recognition on Mobile Devices

Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes

EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data

A Bayesian Active Learning Framework for a Two-Class Classification Problem

Learning an Ontology for Visual Tasks

Bayesian Shape from Silhouettes

Geometrical and Textural Component Separation with Adaptive Scale Selection

Lecture Notes in Computer Science - Computational Intelligence for Multimedia Understanding
Latest Publications