Multimedia Content Tagging Using Multilabel Decision Tree

Author

Ma, Aiyesha ; Sethi, Ishwar ; Patel, Nilesh

Author_Institution

Oakland Univ., Rochester, MI, USA

fYear

2009

fDate

14-16 Dec. 2009

Firstpage

606

Lastpage

611

Abstract

This paper formulates the automated tagging of media as a multilabel classification problem. An induction method for creating a multilabel decision tree is presented, then applied to the problem of identifying emotions associated with music clips. The results are compared to two other multilabel classification approaches (CLUS [26] and RAKEL [24]), and the proposed approach is shown to produce better results using a variety of performance measures.

Keywords

content-based retrieval; decision trees; multimedia computing; pattern classification; induction method; multilabel classification problem; multilabel decision tree; multimedia content tagging; music clips; Classification tree analysis; Decision trees; Entropy; Frequency; Information retrieval; Support vector machine classification; Support vector machines; Tagging; Text categorization; USA Councils; decision tree; media tagging; multilabel classification; music emotion classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia, 2009. ISM '09. 11th IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

978-1-4244-5231-6

Electronic_ISBN

978-0-7695-3890-7

Type

conf

DOI

10.1109/ISM.2009.87

Filename

5365854

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2858338