Travel Blog Assistant System (TBAS): An example scenario of how to enrich text with images and images with text using online multimedia repositories
Marco Bressan, Gabriela Csurka, Yves Hoppenot and Jean-Michel Renders
In: VISAPP Workshop on Metadata Mining for Image Understanding, 22 January, 2008, Funchal, Madeira - Portugal.
In this paper we present a Travel Blog Assistant System that facilitates the travel blog writing by automatically
selecting for each blog paragraph written by the user the most relevant images from an uploaded image set. In
order to do this, the system first automatically adds metadata to the traveler’s photos based both on a Generic
Visual Categorizer (visual keywords) and by exploiting cross-content web repositories (textual keywords).
For a given paragraph, the system ranks the uploaded images according to the similarity between the extracted
metadata and the paragraph. The technology developed and presented here has potential beyond travel blogs,
which served just as an illustrative example. Clearly, the same methodology can be used by professional users
in the fields of multimedia document generation and automatic illustration and captioning.