Conference Proceedings

Discovery of image versions in large collections

Jun Jie Foo, Ranjan Sinha, Justin Zobel, TJ Cham (ed.), J Cai (ed.), C Dorai (ed.), D Rajan (ed.), TS Chua (ed.), LT Chia (ed.)

ADVANCES IN MULTIMEDIA MODELING, PT 2 | SPRINGER-VERLAG BERLIN | Published : 2007

Abstract

Image collections may contain multiple copies, versions, and fragments of the same image. Storage or retrieval of such duplicates and near-duplicates may be unnecessary and, in the context of collections derived from the web, their presence may represent infringements of copyright. However, identifying image versions is a challenging problem, as they can be subject to a wide range of digital alterations, and is potentially costly as the number of image pairs to be considered is quadratic in collection size. In this paper, we propose a method for finding the pairs of near-duplicates based on manipulation of an image index. Our approach is an adaptation of a robust object recognition technique..

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University of Melbourne Researchers