• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.869-874
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• 2024

The spread of various digital devices, the development of communication and network technologies, and the spread of personal media services have led to an explosive increase in the production and distribution of multimedia content. Recognition and search of multimedia data such as images and videos requires a content-based recognition and search method that analyzes and quantifies the physical characteristics of the data and compares them. In content-based search of images, color and shape become important visual features. In this paper, a method to describe and search the spatial distribution of color regardless of image rotation using the complex color model to intergrate color and shape features is proposed. It was confirmed through experiments that by applying a rotation-invariant shape descriptor to a complex color image converted according to a complex color model, color-shape could be expressed and recognized regardless of rotation.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.267-273
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• 2017

With the development of various devices and communication technologies, the production and distribution of various multimedia contents are increasing exponentially. In order to retrieve multimedia data such as images and videos, an approach different from conventional text-based retrieval is needed. Color and shape are key features used in content-based image retrieval, which quantifies and analyzes various physical features of images and compares them to search for similar images. Color and shape have been used as independent features, but the two features are closely related in terms of cognition. In this paper, a method of describing the spatial distribution of color using a complex color model that projects three-dimensional color information onto two-dimensional complex form is proposed. Experimental results show that the proposed method can efficiently represent the shape of spatial distribution of colors by frequency transforming the complex image and reconstructing it with only a few coefficients in the low frequency.