Title:
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Multi-scale label interaction to improve object detection and segmentation
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Author:
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Gatta, Carla
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Other authors:
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Agència de Gestió d'Ajuts Universitaris i de Recerca; Universitat de Barcelona. Departament de Matemàtica Aplicada i Anàlisi |
Resum:
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The project aims at advancing the state of the art in the use of context information for classification of
image and video data. The use of context in the classification of images has been showed of great
importance to improve the performance of actual object recognition systems. In our project we proposed the concept of Multi-scale Feature Labels as a general and compact method to exploit the local and global context. The feature extraction from the discriminative probability or classification confidence label field is of great novelty. Moreover the use of a multi-scale representation of the feature labels lead to a compact and efficient description of the context. The goal of the project has been also to provide a general-purpose method and prove its suitability in different image/video analysis problem. The two-year project generated 5 journal publications (plus 2 under submission), 10 conference publications (plus 2 under submission) and one patent (plus 1 pending). Of these
publications, a relevant number make use of the main result of this project to improve the results in detection and/or segmentation of objects. |
Publication date:
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2013-07-21 |
Subject(s):
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Informàtica Visió per ordinador Aprenentatge automàtic Segmentació per moviment Reconeixement d’objectes |
Rights:
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L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Pages:
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5 p. |
Document type:
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Report |
Collection:
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Els ajuts de l'AGAUR;2009BP_B00205
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