Using text to visually search within Google

Photo courtesy of Google
Photo courtesy of Google

Google has undergone a number of changes in recent months, including but not limited to, the shutting down of some services but the launch of others. And while the end of Google Reader was announced in an effort to drive more users to Google+, that service has also seen some new features.

One of these features allows users who are logged in to search within their own albums on Google using Google Search. This kind of technology relies on Computer Vision algorithms to identify people, places, and things more easily, even if they haven’t been properly sorted or identified. The goal is to aid in visual searches through the use of phrases such as “my photos of cats” or “my photos of flowers,” etc. And as is often the case with Computer Vision and machine learning, the more photos you have, the better the technology is often able to refine itself over time.

What are your thoughts on this feature? Does it sound like something you would use?

The role of Computer Vision Software

The role of Computer Vision has become increasingly important in recent years, as related technologies have moved from the realm of classrooms and laboratories to practical use in mainstream society.

The purpose of this blog is to generate awareness of the pragmatic applications of these technologies. Additionally, we would like to include the perspective of researchers in the academic worlds, of engineers who are developing computer-vision software, and of industry and business experts who can point to needs that this software is able to fill.

We are welcoming contributions from interested people. Please send an email to with your expertise, ideas or leads on information pertaining to the industry.

Relevant topics include (but are not limited to):
§ 3‐D modeling
§ Classification/Recognition
§ Document Analysis
§ Face Detection
§ Face Recognition
§ Human‐Computer Interaction
§ Industrial Inspection and Manufacturing
§ Medical Analysis
§ Motion Analysis
§ Photogrammetry
§ Real‐time Tracking
§ Road/Traffic Analysis
§ Scientific Imaging Applications
§ Security/Surveillance
§ Video Analysis
§ Video Analytics