Utilizad este identificador para citar o enlazar este documento: http://hdl.handle.net/2072/212508

Multi-scale label interaction to improve object detection and segmentation
Gatta, Carla
Agència de Gestió d'Ajuts Universitaris i de Recerca; Universitat de Barcelona. Departament de Matemàtica Aplicada i Anàlisi
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.
Visió per ordinador
Aprenentatge automàtic
Segmentació per moviment
Reconeixement d’objectes
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5 p.
Els ajuts de l'AGAUR;2009BP_B00205

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