IEEE Trans Vis Comput Graph. 2011 Nov;17(11):1624-36. doi: 10.1109/TVCG.2010.266. Epub 2010 Dec 23.
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.
我们引入了一个基准来评估大规模基于草图的图像检索系统的性能。必要的数据是在受控的用户研究中获取的，其中主题对给定的草图/图像对的匹配程度进行评分。我们建议如何使用这些数据来评估基于草图的图像检索系统的性能。基准数据以及大型图像数据库都可供公开使用，以供进一步研究此类问题。此外，我们还开发了基于特征袋方法的新描述符，并使用基准来证明它们显著优于文献中的其他描述符。
