BOOSTING IMAGE RETRIEVAL

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Presentation transcript:

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.