In this paper we propose a large-scale Image annotation system for the Scalable Concept Image Annotation task. For each concept to be detected a separated classifier is built using the provided textual annotation. Images are represented as a Multivariate Gaussian distribution of a set of local features extracted over a dense regular grid. Textual analysis, on the web pages containing training images, is performed to retrieve a relevant set of samples for learning each concept classifier. An online SVMs solver based on Stochastic Gradient Descent is used to manage the large amount of training data. Experimental results show that the combination of different kind of local features encoded with our strategy achieves very competitive performance both in terms of mAP and mean F-measure.

UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation / Grana, Costantino; Serra, Giuseppe; Manfredi, Marco; Cucchiara, Rita; Martoglia, Riccardo; Mandreoli, Federica. - ELETTRONICO. - 1179:(2013), pp. ---. (Intervento presentato al convegno 2013 Cross Language Evaluation Forum Conference, CLEF 2013 tenutosi a Valencia, Spain nel Sep 23-26).

UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation

GRANA, Costantino;SERRA, GIUSEPPE;MANFREDI, MARCO;CUCCHIARA, Rita;MARTOGLIA, Riccardo;MANDREOLI, Federica
2013

Abstract

In this paper we propose a large-scale Image annotation system for the Scalable Concept Image Annotation task. For each concept to be detected a separated classifier is built using the provided textual annotation. Images are represented as a Multivariate Gaussian distribution of a set of local features extracted over a dense regular grid. Textual analysis, on the web pages containing training images, is performed to retrieve a relevant set of samples for learning each concept classifier. An online SVMs solver based on Stochastic Gradient Descent is used to manage the large amount of training data. Experimental results show that the combination of different kind of local features encoded with our strategy achieves very competitive performance both in terms of mAP and mean F-measure.
2013
2013 Cross Language Evaluation Forum Conference, CLEF 2013
Valencia, Spain
Sep 23-26
1179
-
-
Grana, Costantino; Serra, Giuseppe; Manfredi, Marco; Cucchiara, Rita; Martoglia, Riccardo; Mandreoli, Federica
UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation / Grana, Costantino; Serra, Giuseppe; Manfredi, Marco; Cucchiara, Rita; Martoglia, Riccardo; Mandreoli, Federica. - ELETTRONICO. - 1179:(2013), pp. ---. (Intervento presentato al convegno 2013 Cross Language Evaluation Forum Conference, CLEF 2013 tenutosi a Valencia, Spain nel Sep 23-26).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/968701
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