2. Query description 1. User query input 3. Complex ...
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11th IAPR International workshop on Document Analysis System - DAS 2014 ... Presentation. Context. â Comics represent an important part of cultural heritage.
11th IAPR International workshop on Document Analysis System - DAS 2014
Color descriptor for content-based drawing retrieval Christophe Rigaud12 - Dimosthenis Karatzas2 - Jean-Christophe Burie1 - Jean-Marc Ogier1 1 Laboratory L3i, University of La Rochelle, Avenue Michel Crépeau 17042 La Rochelle, France 2 Computer Vision Center, Universitat Autnoma de Barcelona, E-08193 Bellaterra (Barcelona), Spain {christophe.rigaud, jean-marc.ogier, jean-christophe.burie}@univ-lr.fr, {dimos}@cvc.uab.es
Presentation Context ● Comics represent an important part of cultural heritage ● Digitization of thousands of comic books ● Content Based Drawing Retrieval Applications ● Information retrieval: semantic query, full text search, story analysis ● Augmented reading experience: make comics characters speak
Comics
Real scene
Drawing
Contributions
1. User query input
2. Query description
Highlight of pixel using finger or pointing device ● Quick and user friendly ● One object at a time ●
Color reduction ● N most discriminant and dominant colors ● Descriptor (color palette) ●
3. Complex object detection
4. Sample results Query
Correct
Wrong
Query 2
Query 1
Discriminant masks of the descriptor D
Query 1
Confidence C of a given sliding window wi
Multi scale sliding window detection
Experiments
Conclusion
Dataset http://ebdtheque.univ-lr.fr ● 22 different comics characters that appear 352 times in 34 pages ● Descriptor size = 6 ● 3 window sizes = 2, 1 and 0.5 times the query height ● Confidence threshold C = 100% ●
●
Color legend: white = query, red = detection, green = ground truth
90.3% recall and 46.7% precision in average
Contribution ● Robust descriptor to scale, rotation, translation, deformation and occlusion ● Content Based Drawing Retrieval ● Limited to colored comics Perspectives ● Speech balloon and speaker association ● Unsupervised comics understanding
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