1. BOOSTING IMAGE RETRIEVAL
Kinh H. Tieu, Paul Viola, and Eric Grimson
MIT Artificial Intelligence Lab
Digital cameras
Web pages
Image databases
Scanners
Video cameras
Retrieval Strategy
Digital Images Are Everywhere
Find images of cars…
Compute sparse measurements
Image
representation
database
Compare
Learn query concept
Keyword search
Example-based retrieval
User-selected examples
Highly-selective and high dimensional
Retrieval results
Online learning and matching
Sources of digital images continue to grow.
Visual content varies tremendously.
How can a user easily find a particular image?
Indexing images.
Learning visual concepts.
There are over 100 million web pages. Almost all of them contain images of some sort.
We may want images of sunsets, penguins, cars, coastlines, people, etc.