Computer Vision and the Web Images on the Web Movies, news, sports 916,271 titles 10 mil. videos, 65,000 added daily 350 mil. photos, 1 mil. added daily.

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Presentation transcript:

Computer Vision and the Web Images on the Web Movies, news, sports 916,271 titles 10 mil. videos, 65,000 added daily 350 mil. photos, 1 mil. added daily 1.6 bil. images indexed as of summer 2005 Satellite imageryCity streets

Exploring online photo collections: Flickr.com Flickr.com Flickrvision Flickr tag browser Flickr time graphs

Artistic Visualization Jason Salavon –100 Special Moments100 Special Moments –Homes for SaleHomes for Sale –Every Playboy centerfoldEvery Playboy centerfold

Problems with image access on the Web To find anything on the Web, you must search with words! But what if the question is a picture? Small sand-colored African mammal? Small furry animal with pointy snout and long tail? Cute gopher-like beastie that likes to stand up and hang out in groups? Beige-colored animal with dark eyespots, ears, and tip of tail?

Short-term solution: Human computation Identifying bugs and birdsbugsbirds Labeling images: ESP Game, PeekaboomESP GamePeekaboom

Where does computer vision come in?

Visual search Linking physical objects to the web: Microsoft Lincoln projectLincoln Product search: Like.comLike.com Searching personal photo albums: Riya.comRiya.com

Visual sentiment analysis Attractiveness: Hot or Not (research project)Hot or Notresearch project Cuteness: Cute overloadCute overload Interestingness: FlickrFlickr

Exploring photo collections in 3D Photo tourism Snavely, Seitz and Szeliski (SIGGRAPH 2006)Photo tourism Automatic photo pop-up Hoiem and Efros (SIGGRAPH 2005)Automatic photo pop-up

Practical details Tuesdays at 3:30, room SN 115 Basic format: weekly discussion group Paper list: Variable credit: talk to me about doing extra work!