This paper presents a novel approach to the retrieval of multimedia<br />documents that considers Intellectual Property Rights (IPR) metadata<br />as a multidimensional feature in a metric space. The approach allows<br />us to perform similarity searches on the IPR attributes of digital<br />items and to integrate these searches in a common query-by-example<br />paradigm. We aim at managing the metadata related to the IPR in both<br />centralized and Peer-to-Peer systems with metric indexing capabilities.<br />Together with content-based similarity search, IPR similarity search<br />can help the end user to deal with a huge amount of similar items<br />with different licenses. Moreover, content providers may be able<br />to detect fake copies or illegal uses. Two use cases, related to<br />the retrieval of music and images respectively, are presented to<br />describe the possible applications of the approach. Copyright 2007<br />ACM.
Allasia, W., Falchi, F., Gallo, F., & Orio, N. (2007). A digital rights aware similarity measure for multimedia documents. In Workshop on multimedia information retrieval on The many faces of multimedia semantics - MS ’07 (p. 73). New York, New York, USA: ACM Press. https://doi.org/10.1145/1290067.1290080