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A Design and Implementation of Music & Image Retrieval Recommendation System based on Emotion  

Kim, Tae-Yeun (Department of Computer Science and Statistics, Chosun University)
Song, Byoung-Ho (Institute of Information Science and Engineering Research, Mokpo National University)
Bae, Sang-Hyun (Department of Computer Science and Statistics, Chosun University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.1, 2010 , pp. 73-79 More about this Journal
Abstract
Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.
Keywords
Emotion; Ontology; Image Retrieval System; Music; Feature Information;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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