Title :
Multimedia Content Tagging Using Multilabel Decision Tree
Author :
Ma, Aiyesha ; Sethi, Ishwar ; Patel, Nilesh
Author_Institution :
Oakland Univ., Rochester, MI, USA
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;
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
DOI :
10.1109/ISM.2009.87
