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Author Hurtut, Thomas ♦ Gousseau, Yann ♦ Cheriet, Farida ♦ Schmitt, Francis
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image analysis ♦ Line-drawings ♦ Visual art analysis
Abstract In this article, a general framework for the retrieval of artistic line-drawings is introduced. It relies on the pictorial content, defined as a combination of the stylistic content and the visual features of the represented subject. First, we propose an automatic method for the extraction of stroke contours in line drawings, relying on a filtering of the level lines of images. Next, the radius of the drawing tool is estimated from these segmented strokes. This information then efficiently tunes the extraction of several geometric features, including the distribution of curvature, endpoints, junctions and corners of strokes. The efficiency of the proposed method is illustrated with several experiments on two classified databases of artistic line-drawings, and compared with an approach based on the curvature scale space (CSS). Retrieval experiments suggest that the proposed framework is able to handle the pictorial effect delivered by line drawings to a human observer.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-08-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 4
Issue Number 1
Page Count 23
Starting Page 1
Ending Page 23


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Source: ACM Digital Library