Evaluation of an Image and Music Indexing Prototype
| dc.contributor.author | Dunker, Peter | de_DE |
| dc.contributor.author | Paduschek, Ronny | de_DE |
| dc.contributor.author | Dittmar, Christian | de_DE |
| dc.contributor.author | Nowak, Stefanie | de_DE |
| dc.contributor.author | Gruhne, Matthias | de_DE |
| dc.date.accessioned | 2017-11-14T13:52:24Z | |
| dc.date.available | 2017-11-14T13:52:24Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | This paper describes a technical solution for automated semantic indexing of music and images for a media archive environment. The indexing is based on a multi-modal low-level feature extraction and semantic high-level feature classification such as mood, genre, daytime or visual scene types. The classification on both, the audio and the visual information is based on a generic machine learning core architecture. A combination and cleansing process validates for improving the classification results. This paper presents the technical realization of a prototype and its corresponding evaluation. Finally, the practical relevance of this technology results, based on the findings of the evaluation is discussed. | de_DE |
| dc.identifier.isbn | 9-78300-278587 | de_DE |
| dc.identifier.pissn | 0947-5125 | de_DE |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/4982 | |
| dc.language.iso | en | de_DE |
| dc.relation.ispartof | Workshop Audiovisuelle Medien WAM 2009 | de_DE |
| dc.subject | multi-modal media indexing | de_DE |
| dc.subject | media archives indexing | de_DE |
| dc.subject | music retrieval | de_DE |
| dc.subject | image retrieval | de_DE |
| dc.title | Evaluation of an Image and Music Indexing Prototype | de_DE |
| dc.type | Text/Conference Paper | de_DE |
| gi.citation.endPage | 222 | |
| gi.citation.publisherPlace | Chemnitz | de_DE |
| gi.citation.startPage | 217 | de_DE |
| gi.conference.sessiontitle | Multimedia Archives – Music | en |
| gi.document.quality | digidoc | en |