Clip Art Retrieval Combining Raster and Vector Methods

Pedro Martins, Rui Jesus, Manuel J. Fonseca, Nuno Correia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 11TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI 2013)
EditorsL Czuni, K Schoffmann, T Sziranyi
PublisherIEEE
Pages35-40
Number of pages6
ISBN (Print)978-1-4799-0955-1
Publication statusPublished - 2013
Event11th International Workshop on Content-Based Multimedia Indexing (CBMI) - Veszprem, Hungary
Duration: 17 Jun 201319 Jun 2013

Publication series

NameInternational Workshop on Content-Based Multimedia Indexing
PublisherIEEE
ISSN (Print)1949-3983

Conference

Conference11th International Workshop on Content-Based Multimedia Indexing (CBMI)
CountryHungary
CityVeszprem
Period17/06/1319/06/13

Keywords

  • FEATURES

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