Comment Location:
https://www.blogger.com/comment.g?blogID=19209095&postID=3221243972096915542&isPopup=true
Summary:
This is another attempt to generalize sketch recognition. The previous paper focused on incorporating variances between pictures of the same description, and this paper focuses on scale. The author focuses on searching for and retrieving images from a database of over a million images. The uniqueness of the system stems from the fact that it is an image-based search system. The user sketches an image and that is used as the query in the database.
An edge histogram and tensor descriptor are used to extract the necessary data for the search query. Explaining the definitions and utilization of an edge histogram and tensor descriptor would be too lengthy for this summary, so it is left to the reader to investigate further.
Discussion:
The author achieved promising results. What I would like to see is the computer playing pictionary with a good deal of accuracy. The user draws a sketch and the computer's queries get more specific and have a smaller list of results. All in all, I personally enjoy the idea of an image-based search system.
i'm still not sure how authors map a sketch of an image to search it from a database. How to capture all the features of the image from a simple sketch unless there is a prominent feature of it.
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