Simple and fast shape based image retrieval

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

João Ferreira Nunes (Autor) FEUP; Pedro Miguel Moreira (Autor) Outra; João Manuel R. S.Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: Computational Vision and Medical Image Processing: VipIMAGE 2011

Páginas: 73-78

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Indexação

ISI Web of Science

Scopus

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6