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Palestra Extraordinária: FReBIR : Fuzzy Region-Based Image Retrieval.
Prof. Sylvie Philipp-Foliguet, ETIS, Cergy, France, na Série de Seminários 2009 da Pós-Graduação, dia 15/04/2009, às 14:00 h, Auditório do IC , Sala 85 - IC 2.
| What | Palestra |
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| When |
15/04/2009 from 14:00 to 15:00 |
| Where | Auditório do IC - Sala 85 - IC 2 |
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FReBIR is a method of image indexing and retrieval which takes into account the relative positions of the regions within the image. Indexing is based on a fuzzy segmentation of the image. Fuzzy regions are then indexed by colour and texture. The image retrieval is based on inexact graph matching, taking into account both the similarity between regions and the spatial relation between them. We propose, on
one hand a solution to reduce the combinatorial complexity of the graph matching, and on the other hand, several measures of similarity between graphs allowing the result images ranking. Similarity measures use kernel functions adapted to vectors, bags of features or graphs. SVM classifiers are used through relevance feedback loops to retrieve categories of images.
Applications concern image and 3D object retrieval. The method is adapted to partial queries, aiming for example at retrieving images containing a specific type of object.
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Sylvie Philipp-Foliguet is Professor at the National School of Electronics (ENSEA) of Cergy-Pontoise, France, since 1988. She manages the MIDI (Multimedia Indexing and Data Integration) team of laboratory ETIS (Information Processing and Systems).
Her research domains are image segmentation and interpretation. Concerning the first topic she developed a fuzzy segmentation method. For the second topic she proposed methods using fuzzy regions, inexact graph matching and statistical learning. Applications concern indexing and retrieval of documents from databases, these documents are images, videos or 3D objects.
VII WTD do IC 2012
