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Summary
We have seen in many of the previous posts that an important part of the sketch recognition is data collection. It serves to analyze the features, train recognizers and test algorithms. However, data collection is sometime tedious and it is difficult to get external users to help with this task. In this paper they present an alternative where games are employed to collect such data. They present two particular games that are used to gather this data: Picturephone and stella sketch, the first emulates the broken telephone game, were a user depicts what is said in words and then a second puts into words what the first depicted. Then again the other players will try to sketch what the second player wrote so the sketches can be compared. On the Stellasketch a Pictionary game is implemented were one draws and all the others try to guess what is the picture. The games easily produced over 400 labels and 105 sketches. The future direction section also presents interesting ideas including a nice application of the data collection in the future directions section, a sketch based captcha where user draw a common object.
Discussion
Games are fun, so the idea of having a good game for data collection is a very interesting idea. However this imposes a problem over the reliability of the data. Usually serious is not fun, so in a game like these it would be easy to find “funny labels” that will make you laugh but will not be accurate. They even show this in their screens (e.g. “What is that man doing to that horse?”). However this can be overcome with enough samples to be able to detect false labels.
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