Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/56788
Author(s): João Ferreira Nunes
Pedro Miguel Moreira
João Manuel R. S.Tavares
Title: Simple and fast shape based image retrieval
Issue Date: 2011
Abstract: Content Based Image Retrieval (CBIR) is a challenging and active topic of research. This paper focuses on the shape of the represented objects as the main criterion in respect to evaluate the relevance of the retrieval results. There are several shape descriptors described in the literature, which are reported to achieve good results. However some of them are not obvious to implement or are computationally demanding. In this paper we propose a simple and fast to compute set of features to achieve shape based image retrieval. We conducted retrieval experiments on the MPEG-7 Core Experiment CE-Shape-1 test set and the results obtained demonstrate usefulness and competiveness against reported results from other more elaborated descriptors. Results demonstrate that our approach is also valuable when objects represented in the images share similar shapes, although being conceptually different. Another interesting result is that users tend to be very stringent when a good result set is presented (very similar shapes) whilst they are more permissive when the result set does not present a very high level of similarity between the shapes.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
URI: http://hdl.handle.net/10216/56788
Source: Computational Vision and Medical Image Processing: VipIMAGE 2011
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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