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An Architecture for Real-time Textual Query Term Extraction from Images

This paper presents an approach that generates a set of search queries from a user’s query image. The approach provides the ability to query one’s environment in real-time, effectively allowing a user to ask ”What is that?”. This is achieved by capturing the user’s context through a geotagged photograph, and using it to filter a community image collection, for example Flickr, to retrieve a set of descriptive tags; these tags are processed and used as query terms. Having discussed the role of context in the application and the service’s architecture, an initial study of the benefits of this approach will be presented.