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Extracting Valuable Information Lazily Shiry Ginosar.

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Presentation on theme: "Extracting Valuable Information Lazily Shiry Ginosar."— Presentation transcript:

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2 Extracting Valuable Information Lazily Shiry Ginosar

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6 One picture is worth a thousand words

7 If you have never seen an image, a description might help your imagination

8 Imagine a picture. It is a painting of two lovers. A man and a woman. Only their faces and necks are shown but they are covered with white sheets. In the background there is greenery and blue skies with white clouds.

9 The lovers Rene Magritte, 1928

10 Most of the web is not accessible to the visually impaired Why? 1. Images do not have proper captions or are not captioned at all. 2. There are images that are required for navigation.

11 Our task is to attach a description to every image on the web Wait… Didn’t already do that!? Not really…

12 only provides word labels. These are great for image search but not enough for accessibility

13 Labels: Eat, Drink, Man, Woman

14 Labels: Man, Woman

15 Our task is to attach a description to every image on the web Our task is to attach a descriptive paragraph to every image on the web

16 Following the EVIL tradition, this will be done in the form of a FUN GAME

17 Treasure Hunt Picture Hunt

18 Input Output behavior image Descriptive paragraph Game

19 The game is an internet race between multiple players all aiming to find the same randomly chosen image. They are the “seekers”

20 The only information they have about this image comes from a written description that is given to them

21 We provide them with an image search engine Because searching is cool

22 A typical seeker screen The image is a drawing of a man and a woman… drawing man woman

23 One of the players is the “describer”. He is the only one who gets to see the image. He will provide us with the description we are looking for

24 A typical describer screen The image is a drawing of a man and a woman…

25 Once a seeker finds the correct image, he becomes the next describer and a new image is chosen

26 Points The seeker that finds the image first The describer, in proportion to the time it took the seekers to find the image

27 We are testing other ideas to make this more fun Taboo words Intentional corruption of search results A mega puzzle for each game

28 This form of a FUN GAME will hopefully provide us with descriptions of all images on the web Thus contributing to the accessibility of the web

29 One picture is worth a thousand words

30 Shiry Ginosar Advisor: Professor Manuel Blum Graduate Mentor: Luis von Ahn Brought to you by EVIL

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32 Labels: Man, Woman

33 Labels: Dali, portrait, photograph


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