Content-Based Retrieval Concept

Content-Based Retrieval Concept

Yung-Kuan Chan (National Chung Hsing University, Taiwan, R.O.C.) and Chin-Chen Chang (National Chung Hsing University, Taiwan, R.O.C.)
DOI: 10.4018/978-1-59140-553-5.ch099
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Abstract

Because of the demand for efficient management in images, much attention has been paid to image retrieval over the past few years. The text-based image retrieval system is commonly used in traditional search engines (Ratha et al., 1996), where a query is represented by keywords that are usually identified and classified by human beings. Since people have different understandings on a particular image, the consistency is difficult to maintain. When the database is larger, it is arduous to describe and classify the images because most images are complicated and have many different objects. There has been a trend towards developing the content-based retrieval system, which tries to retrieve images directly and automatically based on their visual contents.

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