Visual search indexing using parallel GPUs

Tuesday 23rd September, 2008

Building an image search index takes quite a lot of processing power. Apart from all the usual mucking about that building a regular search index entails, you also have to download, resize, and analyse all the images that you want in your index. That analysis itself will consist of many different tasks, usually including the use of visual features to analyse colour, texture, shape, etc. and the use of classifiers to recognise specific objects.

Canadian visual search outfit Incogna have taken an interesting approach to image processing, from what I can tell building their image search indexes using massively parallel GPUs. Asking around the team, that technique has anecdotally produced some very successful tests, so I’ll be keeping an eye on these guys in future.