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Author
Jaume Amores; N. Sebe; Petia Radeva
Title
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
3
Pages
201–209
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
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ ASR2006
Serial
643
Permanent link to this record
Author
Jaume Amores; N. Sebe; Petia Radeva
Title
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
Type
Journal
Year
2007
Publication
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29(10):1818–1833, (ISI 3,81)
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
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ ASR2007b
Serial
922
Permanent link to this record
Author
Yu Jie; Jaume Amores; N. Sebe; Petia Radeva; Tian Qi
Title
Distance Learning for Similarity Estimation
Type
Journal
Year
2008
Publication
IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462
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
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ JAS2008
Serial
961
Permanent link to this record
Author
A. Pujol; Jordi Vitria; Felipe Lumbreras; Juan J. Villanueva
Title
Topological principal component analysis for face encoding and recognition
Type
Journal Article
Year
2001
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
22
Issue
6-7
Pages
769–776
Keywords
Abstract
IF: 0.552
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
ADAS;OR;MV
Approved
no
Call Number
ADAS @ adas @ PVL2001
Serial
155
Permanent link to this record
Author
Fahad Shahbaz Khan; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Antonio Lopez; Michael Felsberg
Title
Coloring Action Recognition in Still Images
Type
Journal Article
Year
2013
Publication
International Journal of Computer Vision
Abbreviated Journal
IJCV
Volume
105
Issue
3
Pages
205-221
Keywords
Abstract
In this article we investigate the problem of human action recognition in static images. By action recognition we intend a class of problems which includes both action classification and action detection (i.e. simultaneous localization and classification). Bag-of-words image representations yield promising results for action classification, and deformable part models perform very well object detection. The representations for action recognition typically use only shape cues and ignore color information. Inspired by the recent success of color in image classification and object detection, we investigate the potential of color for action classification and detection in static images. We perform a comprehensive evaluation of color descriptors and fusion approaches for action recognition. Experiments were conducted on the three datasets most used for benchmarking action recognition in still images: Willow, PASCAL VOC 2010 and Stanford-40. Our experiments demonstrate that incorporating color information considerably improves recognition performance, and that a descriptor based on color names outperforms pure color descriptors. Our experiments demonstrate that late fusion of color and shape information outperforms other approaches on action recognition. Finally, we show that the different color–shape fusion approaches result in complementary information and combining them yields state-of-the-art performance for action classification.
Address
Corporate Author
Thesis
Publisher
Springer US
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0920-5691
ISBN
Medium
Area
Expedition
Conference
Notes
CIC; ADAS; 600.057; 600.048
Approved
no
Call Number
Admin @ si @ KRW2013
Serial
2285
Permanent link to this record
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