The Future of Image Search

author: Jitendra Malik, UC Berkeley
published: Sept. 26, 2008,   recorded: August 2008,   views: 3908
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Description

There are billions of images on the Internet. Today, searching for a desired image is largely based on textual data such as filename or associated text on the web page; not much use is made of the image content. There are good reasons for this. The field of content-based image retrieval, which emerged during the 1990s, focused primarily on color and texture cues. These were easier to model than shape, but they turned out to be much less useful than originally hoped. I shall review some of the recent developments in the field of visual object recognition in the computer vision community that offer greater promise. Much better image features for characterizing shape, advances in machine learning techniques, and the availability of large amounts of training data lie at the heart of these approaches.

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Reviews and comments:

Comment1 KK, January 12, 2009 at 9:45 a.m.:

While I'm seeing it, it's gone...


Comment2 harpreet singh, January 16, 2009 at 11:07 p.m.:

I dont know what is the problem with this presentation. But everytime I watch it stops after some time. Please look at this


Comment3 JE, January 21, 2009 at 5:24 p.m.:

You can stop it, then replay it from that spot where it froze. Then it will work.


Comment4 sachin, July 11, 2009 at 9:31 p.m.:

Pretty good talk and very inspiring.
I liked the presentation very much and it would certainly help me in gathering thoughts.


Comment5 Subba Ramaiah, August 12, 2009 at 8:29 a.m.:

nice presentation.


Comment6 iPhone, April 26, 2010 at 7:18 a.m.:

Wow ! J. Malik you rock, so awesome clean explanation no book can speak in such simple words ..

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