edoc

Sketch-based image similarity search with a pen and paper interface

Al Kabary, Ihab and Schuldt, Heiko. (2012) Sketch-based image similarity search with a pen and paper interface. In: Proceedings of the 2012 International Conference on Research and Development in Information Retrieval (SIGIR'12). New York, p. 1014.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6043853

Downloads: Statistics Overview

Abstract

We present a novel and innovative user interface for query-by-sketching based image retrieval that exploits emergent interactive paper and digital pen technology. Users can draw sketches with a digital pen on interactive paper in a user-friendly way. The pen is able to capture the stroke vectors and to interactively stream them to the underlying content-based image retrieval (CBIR) system via the pen's Bluetooth interface. We present the integration of interactive paper/digital pen technology with QbS, our CBIR system tailored to Query-by-Sketching, and we demonstrate the use of the paper and pen interface together with QbS for three dierent collections: MIRFLICKR-25K, a cartoon collection, and a collection of medieval paper watermarks.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and El-Kabary, Ihab
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:ACM Digital Library
Note:Publication type according to Uni Basel Research Database: Conference paper
Related URLs:
Identification Number:
Last Modified:26 Apr 2013 07:02
Deposited On:26 Apr 2013 06:52

Repository Staff Only: item control page