Reading #25 A Descriptor for Large Scale Image Retrieval Based on Sketched Feature Lines

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Wenzhe
Summary:
This paper introduce a method to retrieve images based on the sketch users draw to imitate the image he or she want to find. The system use a tensor-based descriptor to search an image in a large number of images that is similar with the sketch. In order to do this, the system solve the problem of asymmetry  between a binary sketch input and a full color image.This paper compare the method with MPEG-7 edge histogram descriptor and find it is slightly better than it.

Discussion:
I really like the idea of this paper of how to search a image in a database with huge size. Searching by just drawing a sketch is a very natural way. I have seen some image seaching engines on line that the input is a image and the searching result is some images that are similar with it. Both of them are very interesting. However, different user has different style of drawing to describe a image. In order to make this system more robust we need to think about this problem.