More ideas and questions about Image Processing

Meeting Notes

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What about gigapan pictures?

- Would divide these images into smaller images, but not drop below a certain resolution (say, 800 x 600 for example)
- Game could be that each person tags sections of a large image.  Once they tag an image, they "collect" that image.  The collected images fill in the original large picture.  The person's end goal could be to guess what the large image is (or tag the large image with a general term like "landscape" or a specific name like "San Francisco")
- Game could have two modes and at the beginning the players choose to be either a Tagger or a Finder.  The Taggers draw squares around the objects they tag in the image.  The Finders try to find the object that has been tagged (all tagged squares are flipped over or hidden and the Finder must click on the square they think is the appropriate object to show what was underneath).

When tagging close-up images of people, do we want players to tag facial features like noses, eyes, and ears?

- If they draw a square around it, we can pull out the nose and show it in a search engine search
- We can extract out the cropped parts and show them to someone else for verification

-Use the fade-away memory game as confirmation to tags created in another game.

-Categorization of the image into - name, place, animal, thing

-How accurate do we want the tags to be?  If we use these tags in a search engine, we will be perpetuating the circulation of misinformation.

-Another mini-game could be to show players an image and the players must determine if a human is in the image or not.

-Could try converting colored images into black and white images, players then tag the objects with their appropriate colors (for example, a black and white image of the Flintstones -> players tag Fred's shirt as orange).

-a thought that crossed: the size of the objects in the real world has an impact on how the people perceive it in an image. splitting an image should be based on this.