Emotion from Color images and Its Application to Content-based Image Retrievals


The KIPS Transactions:PartB , Vol. 10, No. 2, pp. 179-188, Apr. 2003
10.3745/KIPSTB.2003.10.2.179,   PDF Download:

Abstract

In content-based image retrieval, the query is an image itself and the retrieval process is the process that seeking the similar images to the given query image. In this way of retrieval, the user has to know the basic physical features of target images that he wants to retrieve. But it has some restriction because to retrieve the target image he has to know the basic physical feature space such as color, texture, shape and spatial relationship. In this paper, we propose an emotion-based retrieval system. It uses the emotion that color images have. It is different from past emotion-based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. To test the performance of our proposed system, we use MPEG-7 color descriptor and emotion language such as ´warm´, ´clean´, ´bright´ and ´delight´. We test about 1500 wallpaper images and get successful result.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. S. Park, K. B. Eum, K. H. Shin, J. W. Lee, D. S. Park, "Emotion from Color images and Its Application to Content-based Image Retrievals," The KIPS Transactions:PartB , vol. 10, no. 2, pp. 179-188, 2003. DOI: 10.3745/KIPSTB.2003.10.2.179.

[ACM Style]
Joong Soo Park, Kyoung Bae Eum, Kyung Hae Shin, Joon Whoan Lee, and Dong Sun Park. 2003. Emotion from Color images and Its Application to Content-based Image Retrievals. The KIPS Transactions:PartB , 10, 2, (2003), 179-188. DOI: 10.3745/KIPSTB.2003.10.2.179.