Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/28642
Author(s): | Serrão, C. |
Editor: | Sobh, T., and Elleithy, K. |
Date: | 2010 |
Title: | MAC, a system for automatically IPR identification, collection and distribution |
Book title/volume: | Innovations in Computing Sciences and Software Engineering |
Pages: | 195 - 200 |
Event title: | 2009 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2009, Part of the International Joint Conference on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009 |
Reference: | Serrão, C. (2010). MAC, a system for automatically IPR identification, collection and distribution. In T. Sobh, & K. Elleithy (Eds.), Innovations in Computing Sciences and Software Engineering (pp. 195-200). Springer. https://doi.org/10.1007/978-90-481-9112-3_33 |
ISBN: | 978-90-481-9112-3 |
DOI (Digital Object Identifier): | 10.1007/978-90-481-9112-3_33 |
Keywords: | Digital music Audio fingerprinting Intellectual property rights Piracy Music rights distribution |
Abstract: | Controlling Intellectual Property Rights (IPR) in the Digital World is a very hard challenge. The facility to create multiple bit-by-bit identical copies from original IPR works creates the opportunities for digital piracy. One of the most affected industries by this fact is the Music Industry. The Music Industry has supported huge losses during the last few years due to this fact. Moreover, this fact is also affecting the way that music rights collecting and distributing societies are operating to assure a correct music IPR identification, collection and distribution. In this article a system for automating this IPR identification, collection and distribution is presented and described. This system makes usage of advanced automatic audio identification system based on audio fingerprinting technology. This paper will present the details of the system and present a use-case scenario where this system is being used. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Size | Format | |
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conferenceobject_18764.pdf | 8,97 MB | Adobe PDF | View/Open |
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