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2010
Springer

An evaluation of descriptors for large-scale image retrieval from sketched feature lines

12 years 5 months ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale well towards large databases in the context of interactively supervised search and propose two different approaches for which we objectively evaluate that they significantly outperform existing approaches. The proposed descriptors are constructed such that both the full color image and the sketch undergo exactly the same preprocessing steps. We first search for an image with similar structure, analyzing gradient orientations. Then, best matching images are clustered based on dominant color distributions, to offset the lack of color-based decision during the initial search. Overall, the query results demonstrate that the system offers intuitive access to large image databases using a user-friendly sketch-and-browse interface.
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CG
Authors Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur, Marc Alexa
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