flickr retrievr and visual search tools
It seems that an area ripe for improvement in the stock photo industry is the development of new and accurate search methods to help customers connect with the right image. Traditionally the way to search for an image is based on metadata associated with an image such as the caption and keywords, but this method does not take into account many of the visual characteristics of the image such as composition and color. This also presents problems when you consider the idea of searching multiple collections at one time in which different keywording and search standards make it very difficult to display the search results in a meaningful way. For these reasons we have seen many companies make attempts at incorporating other more intuitive visual search features such as a search by color feature or iStockphoto’s CopySpace search feature. These features are typically incorporated with a metadata search and, for the most part, seem to work moderately well but it is clear that there is much to be learned about developing a true visual search. That said, it is great to see new innovation and I recently came across an interesting experiment created by System One called the "flickr retrievr".
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