QUERY-BY-EMOTION SKETCH FOR LOCAL EMOTION-BASED IMAGE RETRIEVAL

Young-Chang Lee, Kyoung-Mi Lee

Abstract

This paper has proposed an image retrieval system by using an emotion sketch in order to retrieve images that locally hold different emotions. The proposed image retrieval system divides an image into the 17×17 non-overlapping sub-areas. In order to extract the emotion features in sub-areas, the proposed system has used the emotion colors that correspond to the 160 emotion words that suggested by the color imaging chart of H. Nagumo. By calculating the distribution of emotion colors corresponding to the emotion words from the sub-areas, the system takes the emotion word that holds the largest value among the histogram values of the emotion words of each sub-area. The image retrieval system with using the proposed emotion sketch query has demonstrated excellent retrieval precision and recall functions that are better than the global approach by evaluating the validity of the Corel database.

References

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Paper Citation


in Harvard Style

Lee Y. and Lee K. (2010). QUERY-BY-EMOTION SKETCH FOR LOCAL EMOTION-BASED IMAGE RETRIEVAL . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 644-647. DOI: 10.5220/0002761106440647


in Bibtex Style

@conference{icaart10,
author={Young-Chang Lee and Kyoung-Mi Lee},
title={QUERY-BY-EMOTION SKETCH FOR LOCAL EMOTION-BASED IMAGE RETRIEVAL},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={644-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002761106440647},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - QUERY-BY-EMOTION SKETCH FOR LOCAL EMOTION-BASED IMAGE RETRIEVAL
SN - 978-989-674-021-4
AU - Lee Y.
AU - Lee K.
PY - 2010
SP - 644
EP - 647
DO - 10.5220/0002761106440647