Chris
Summary:
The paper addresses the problem of large scale sketch based image retrieval. The main contribution is a sketch-based query system for image database containing millions of images.For the traditional search system, users can only provides word for searching. For searching for images, they also have to provide word to describe the image, which seems very hard in some cases. However, people could remember how the image looks like, and they can tell you by sketching them on the paper. The system is doing that! Using sketched image to search for real images in the image database. The result show that their system is superior to a variant of the MPEG-7 edge histogram descriptor in a quantitative evaluation.
Discussion:
Wow! Awesome! This is my favorite system that I've seen before. As far as I know, this likely be the future search engine. Combine sketch and word to search for image is very cool thing and can give much accurate images that people want to retrieve. And it is better to let the system can learn from the people's action like selecting picuture.I am very excited to see this system.
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.
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