Towards Automatic Retrieval of Album Covers

Markus Schedl; Gerhard Widmer; Tim Pohle; Peter Knees

Towards Automatic Retrieval of Album Covers

Markus Schedl, Gerhard Widmer, Tim Pohle, Peter Knees

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We present first steps towards intelligent retrieval of music album covers from the web. The continuous growth of electronic music distribution constantly increases the interest in methods to automatically provide added value like lyrics or album covers. While existing approaches rely on large proprietary databases, we focus on methods that make use of the whole web by using Googles or A9.coms image search. We evaluate the current state of the approach and point out directions for further improvements.

Original language	English
Title of host publication	Proceedings of the 28th European Conference on Information Retrieval (ECIR ´06)
Number of pages	4
Publication status	Published - 2006

Fields of science

102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems
202002 Audiovisual media

Cite this

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title = "Towards Automatic Retrieval of Album Covers",

abstract = "We present first steps towards intelligent retrieval of music album covers from the web. The continuous growth of electronic music distribution constantly increases the interest in methods to automatically provide added value like lyrics or album covers. While existing approaches rely on large proprietary databases, we focus on methods that make use of the whole web by using Googles or A9.coms image search. We evaluate the current state of the approach and point out directions for further improvements.",

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AB - We present first steps towards intelligent retrieval of music album covers from the web. The continuous growth of electronic music distribution constantly increases the interest in methods to automatically provide added value like lyrics or album covers. While existing approaches rely on large proprietary databases, we focus on methods that make use of the whole web by using Googles or A9.coms image search. We evaluate the current state of the approach and point out directions for further improvements.

M3 - Conference proceedings

BT - Proceedings of the 28th European Conference on Information Retrieval (ECIR ´06)

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