KMi Seminars
Searching Images to Find Information
This event took place on Friday 12 June 2009 at 11:30

 
Dr. R. Manmatha Dept. of Computer Science, University of Massachusetts Amherst

Image search has a large variety of potential applications. The obvious one is of course searching images given a text query. I discuss research into how this may be done using statistical models (relevance models) to automatically annotate and retrieve images. The same techniques may also be applied to retrieve scanned historical handwritten documents and I will show an example using George Washington's documents. I will then discuss how new techniques for image search may be applied to searching printed documents in languages where good optical character recognizers do not exist. Finally, I will briefly discuss a commercial mobile image search application on the iphone which allows one to take a picture of a book, DVD, CD or videogame cover and get back information such as price, reviews and so on.

Collaborators include Shaolei Feng, C. V. Jawahar, Jiwoon Jeon,
Anand Kumar. Victor Lavrenko and Toni Rath.

 
KMi Seminars
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.