VisionWang: Computer Vision Expert Blog

Congratulations to the Computer Vision Team at Google Labs! Google finally releases image search based on image similarities. 

Let’s review the different stages of image search:

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We introduced a great product of idee, TinEye, as one of the best visual search engines in a previous post. Digg is a popular Web 2.0 application, where people can discover and upload content from anywhere on the web. These days I find Digg.com has partnered with idee’s TineEye for image duplicate checking, as shown in the following screen capture. 

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Since our previous post, Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs, more iPhone applications using computer vision and image processing technology have come out. Here we review two more apps.

1. SnapTell: Tell the price, store, or online website of a CD/DVD/Book/Video Game with a photographed cover image. This is an image retrieval/recognition problem.
2. CubeCheater: Solve your puzzle cube with six pictures taken for each face of the cube. It uses image segmentation and blob detection technology.

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Image search is going to an era of search-by-content (such as color, shape, texture, style, objects, etc) instead of search-by-text-context, as described in one of our previous posts, Visual Search Engines: The Future Seach Engines. Following Microsoft’s release of image search by content (color, style (illustration or photograph), or face) at the beginning of this month, Google today also announced their image search product by style (Clip art, Line drawings, and Photo content). I am happy to see more and more computer vision technologies are used in leading search engines.  

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