Alice's Worlds of Wonder: Exploiting Tags to Understand Images in terms of Size and Scale

摘要

The 'Wonderlands of Size and Scale' system extends Flickr search functionality with a mechanism that exploits information implicit in image tag sets to filter images on the basis of characteristics related to size and scale. The innovative contribution of the 'Wonderlands' system is threefold: first, its use of an understanding of real-world physical entities depicted in images in terms of size and scale to filter images for display to the user; second, its application of our recently proposed 'Reading between the Tags' approach, which infers the real-world size of physical objects depicted in images by combining user-assigned image tags and natural language statistics mined from the Web; and, third, its trim realization of an engaging application that is implemented in a light-weight manner such that it can be executed as a live extension to the Flickr search engine. Results of a simple system-oriented evaluation support, the conclusion that 'Wonderlands' reaches its aim of presenting users with images sorted with respect to the size- and scale-characteristics of their visually depicted content.