Category: Vision Tech Review

SIGGRAPH 2009 Papers Unveiled

SIGGRAPH 2009 accepted papers are coming out. Totally 78 papers out of 439 submissions are accepted (acceptance rate: ~18%). Congratulations to the authors. Many researchers can not stand waiting long time to post their works online. Thanks to Ke-Sen Huang, he maintains a very nice website of accepted papers.

There are several interesting observations:

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FashionLatte: Visual Search Engine for Clothes

FashionLatte is still brewing. FashionLatte is a clothes search engine based on images. It is “a one-stop shop for your daily cup of fashion”. The Co-Founders are three brilliant Ph.D. candidates from Computer Vision and Robotics Lab at the University of Illinois at Urbana-Champaign, i.e., Sanketh, Bernard, and Esther (that is how the company name SanBernest Inc. comes from). 
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Visual Search Engines: The Future Search Engines

Text based search engines, such as Google, Yahoo, and Microsoft search engines, have become an important tool for us to obtain useful information through Internet. Interestingly, even you want to find a picture on the web, a text description of the picture has to be input to the search box. The search engine is then actually doing a text-context based search.

Imagine the following scenarios. Your girlfriend/wife came across a lady carrying a beautiful handbag on the 5th Ave of New York City. She quickly took a photo of that bag using her iPhone. Can she find similar bags instantly through iPhone? In another scenario when she came across a stylish Chanel handbag, which is too expensive for you to afford. Can you quickly find a cheaper one of similar style online?

Obviously, the current functionalities of major search engines are far from meeting our increasing demand. First of all, “Each picture is worth a thousand of words”, therefore, sometimes it is kind of difficult to describe what you really want using concise phrases. Secondly, even if you can describe the scene, many unrelated pictures are usually returned for you to manually sift what you need page by page.

Is there an efficient and automatic way to solve this problem? The answer is yes, I believe. Visual search will be the future and the ultimate solution for above scenarios.

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Killer Applications in Computer Vision

A picture is worth a thousand words!

As more and more consumer electronics products are equipped with cameras, visual analytics play a more and more important role for our computers to better understand the world. Breakthrough computer vision technologies are coming out of the lab to the real world. These technologies enable value added applications for the business, and revolutionized products for our daily life. Large amount novel applications have emerged, some of which are briefed as follows.

Visual Search: In spite of the fast development and wide applications of text-based search technologies (e.g., google, yahoo, microsoft search engines), visual search is still in its infancy. Due to the richer information in pictures, we believe, visual search will lead the next wave of search engine revolution.

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