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Author
David Masip; Jordi Vitria
Title
Shared Feature Extraction for Nearest Neighbor Face Recognition
Type
Journal
Year
2008
Publication
IEEE Transactions on Neural Networks
Abbreviated Journal
Volume
19
Issue
4
Pages
586–595
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ MaV2008
Serial
944
Permanent link to this record
Author
J.M. Sanchez; X. Binefa; Jordi Vitria
Title
Shot Partitioning Based Recognition of Tv Commercials
Type
Journal
Year
2002
Publication
Multimedia Tools and Applications, 18: 233–247, Kluwer Academic Publishers (IF: 0.421)
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
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Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
BCNPCL @ bcnpcl @ SBV2002
Serial
274
Permanent link to this record
Author
Sergio Escalera; Xavier Baro; Jordi Vitria; Petia Radeva; Bogdan Raducanu
Title
Social Network Extraction and Analysis Based on Multimodal Dyadic Interaction
Type
Journal Article
Year
2012
Publication
Sensors
Abbreviated Journal
SENS
Volume
12
Issue
2
Pages
1702-1719
Keywords
Abstract
IF=1.77 (2010)
Social interactions are a very important component in peopleís lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Timesí Blogging Heads opinion blog.
The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The linksí weights are a measure of the ìinfluenceî a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network.
Address
Corporate Author
Thesis
Publisher
Molecular Diversity Preservation International
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
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Conference
Notes
MILAB; OR;HuPBA;MV
Approved
no
Call Number
Admin @ si @ EBV2012
Serial
1885
Permanent link to this record
Author
Manuel Graña; Bogdan Raducanu
Title
Special Issue on Bioinspired and knowledge based techniques and applications
Type
Journal Article
Year
2015
Publication
Neurocomputing
Abbreviated Journal
NEUCOM
Volume
Issue
Pages
1-3
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
Admin @ si @ GrR2015
Serial
2598
Permanent link to this record
Author
R. Clariso; David Masip; A. Rius
Title
Student projects empowering mobile learning in higher education
Type
Journal
Year
2014
Publication
Revista de Universidad y Sociedad del Conocimiento
Abbreviated Journal
RUSC
Volume
11
Issue
Pages
192-207
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
1698-580X
ISBN
Medium
Area
Expedition
Conference
Notes
OR;MV
Approved
no
Call Number
Admin @ si @ CMR2014
Serial
2619
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