A LOCAL SHAPE DESCRIPTOR FOR MOBILE LINEDRAWING RETRIEVAL

Coming with the rapid spread of Intelligent terminals with camera, mobile visual search techniques have undergone a revolution, where visual information can be easily browsed and retrieved upon simply capturing a query photo. However, most existing work targets at compact description of natural scene image statistics, while dealing with line drawing images retains an open problem. This paper presents a unified framework of line drawing problems in mobile visual search. We propose a compact description of line drawing image named Local Inner-Distance Shape Context (LISC) which is robust to the distortion and occlusion and enjoys scale and rotation invariance. Together with an innovative compression scheme using JBIG2 to reduce query delivery latency, our framework works well on both a self-built dataset and MPEG- 7 CE Shape-1 dataset. Promising results on both datasets show significant improvement over state-of-the-art algorithms.