Sketch-Based Image Retrieval via Adaptive Weighting
Shuai Ren, Cheng Jin, Chang Sun, Yuejie Zhang · 2014
As touch devices become more and more popular these days, it would be convenient if the user could draw a sketch and then use the sketch as the input for an image retrieval system. Although Sketch-Based Image Retrieval (SBIR) had been studied since 1990s, how to measure the similarity between a sketch and an image with high precision is still a challenging problem. In this paper, a novel adaptive weighting method is proposed for the matching process of SBIR. We integrate a cost aggregation step into the matching process, both the neighborhood and multi-scale information are taken into account. The experiments on the public image dataset show that our method can yield promising results.