Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors

被引：215

作者：

Eitz, Mathias ^{[1
]}

Hildebrand, Kristian ^{[1
]}

Boubekeur, Tamy ^{[2
]}

Alexa, Marc ^{[1
]}

机构：

[1] Tech Univ Berlin, Fak Elektrotech & Informat 4, Sekretariat EN 7 1, D-10587 Berlin, Germany

[2] Telecom ParisTech CNRS, TSI, F-75013 Paris, France

来源：

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | 2011年 / 17卷 / 11期

关键词：

Image/video retrieval; image databases; benchmarking; NUMBER; SHAPE;

D O I：

10.1109/TVCG.2010.266

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We introduce a benchmark for evaluating the performance of large-scale sketch-based image retrieval systems. The necessary data are acquired in a controlled user study where subjects rate how well given sketch/image pairs match. We suggest how to use the data for evaluating the performance of sketch-based image retrieval systems. The benchmark data as well as the large image database are made publicly available for further studies of this type. Furthermore, we develop new descriptors based on the bag-of-features approach and use the benchmark to demonstrate that they significantly outperform other descriptors in the literature.

引用

页码：1624 / 1636

页数：13

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