Yoon, Sang Min ; Kuijper, Arjan (2010)
Object Retrieval Based on User-Drawn Sketches.
VISIGRAPP 2010. Proceedings.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Sketches drawn by users are one of the most intuitive forms of Human Computer Interaction. Users can easily express their intention by sketching simple hand-drawn lines. In this paper, we consider the problem of target object detection and retrieval from a query by a sketch which is not in the database. Our novel approach consists of three steps: (1) Preprocessing to extract the skeletal features from a sketched query using size normalization, labelling, and binarization, (2) Skeletal feature extraction of query and data images in the space of diffusion tensor fields, and (3) Similarity measure using tensorial information between sketched query and database to retrieve the most similar target object in database. Experiments are conducted to evaluate the performance of our methodology, which shows to be an efficient and mature retrieval system.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Yoon, Sang Min ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Object Retrieval Based on User-Drawn Sketches |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Verlag: | INSTICC Press |
| Veranstaltungstitel: | VISIGRAPP 2010. Proceedings |
| Kurzbeschreibung (Abstract): | Sketches drawn by users are one of the most intuitive forms of Human Computer Interaction. Users can easily express their intention by sketching simple hand-drawn lines. In this paper, we consider the problem of target object detection and retrieval from a query by a sketch which is not in the database. Our novel approach consists of three steps: (1) Preprocessing to extract the skeletal features from a sketched query using size normalization, labelling, and binarization, (2) Skeletal feature extraction of query and data images in the space of diffusion tensor fields, and (3) Similarity measure using tensorial information between sketched query and database to retrieve the most similar target object in database. Experiments are conducted to evaluate the performance of our methodology, which shows to be an efficient and mature retrieval system. |
| Freie Schlagworte: | Diffusion tensor fields, Image retrieval, Sketch based queries |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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