Title :
Clip art retrieval combining raster and vector methods
Author :
Martins, Pedro ; Jesus, R. ; Fonseca, M.J. ; Correia, Nuno
Author_Institution :
Dept. of Comput. Sci., New Univ. of Lisbon, Caparica, Portugal
Abstract :
Clip art databases can be composed by raster images or by vector drawings. There are technologies for searching and retrieving clip arts for both image formats but research has been done separately, focusing on either format, without taking benefits of both research fields as a whole. This paper describes a study where the benefits of combining information extracted from vector and raster images to retrieve clip arts are evaluated and discussed. Color and texture features are extracted from raster images and geometry and topology features are extracted from vector images. The paper presents several comparisons between different combinations with several descriptors. The results of the study show the effectiveness of the solutions that combines both types of features.
Keywords :
computational geometry; feature extraction; image colour analysis; image retrieval; image texture; topology; clip art databases; clip art retrieval; clip art search; color feature extraction; geometry feature extraction; image formats; information extraction; raster image method; texture feature extraction; topology feature extraction; vector drawings; vector image method; Art; Data mining; Databases; Feature extraction; Image color analysis; Shape; Vectors;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2013 11th International Workshop on
Conference_Location :
Veszprem
Print_ISBN :
978-1-4799-0955-1
DOI :
10.1109/CBMI.2013.6576549
