A digital rights aware similarity measure for multimedia documents

  • Allasia W
  • Falchi F
  • Gallo F
  • et al.
Citations of this article
Mendeley users who have this article in their library.
Get full text


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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free