Image to text translation by multi-label classification

Nasierding, Gulisong and Kouzani, Abbas Z. 2010, Image to text translation by multi-label classification. In Goebel, R., Siekmann, J. and Wahlster, W. (ed), , Springer-Verlag Berlin Heidelberg, Heidelberg, Germany, pp.247-254, doi: 10.1007/978-3-642-14932-0.

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Title Image to text translation by multi-label classification
Author(s) Nasierding, Gulisong
Kouzani, Abbas Z.ORCID iD for Kouzani, Abbas Z.
Editor(s) Goebel, R.
Siekmann, J.
Wahlster, W.
Publication date 2010
Series Lecture notes in artificial intelligence; v.6216
Chapter number 31
Total chapters 84
Start page 247
End page 254
Total pages 8
Publisher Springer-Verlag Berlin Heidelberg
Place of Publication Heidelberg, Germany
Keyword(s) multi-label classification
dual-random ensemble learning
image to text translation
automatic image annotation
Summary This paper presents an image to text translation platform consisting of image segmentation, region features extraction, region blobs clustering, and translation components. A multi-label learning method is suggested for realizing the translation component. Empirical studies show that the predictive performance of the translation component is better than its counterparts when employed a dual-random ensemble multi-label classification algorithm.
ISBN 9783642149313
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-642-14932-0
Field of Research 090609 Signal Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category B1 Book chapter
HERDC collection year 2010
Copyright notice ©2010, Springer-Verlag
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Created: Fri, 27 Aug 2010, 14:55:57 EST by Abbas Kouzani

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