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Using Color Information of Target Objects for Web Image Retrieval

机译:使用目标对象的颜色信息进行Web映像检索

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The color information for image retrieval has been used widely in many content-based retrieval systems However, traditional histogram-based color retrieval approaches suffer from lack of important objects knowledge of an image. It is thus impossible to recognize similar objects with different background colors in images using such approaches. In this paper, we present an approach to integrating color information with objects knowledge in order to obtain the major information of an image. In contrast to the previous ones, our approach uses the color histogram of particular objects in an image, rather than that of the whole image to retrieve relevant images. A prototype image retrieval system has been developed to demonstrate the effectiveness of our approach. The results have shown substantial improvement over previous approaches by using our approach.
机译:图像检索的颜色信息已经广泛用于基于许多基于内容的检索系统,然而,基于传统的基于直方图的颜色检索方法遭受图像的重要对象知识。因此,不可能使用这种方法在图像中具有不同背景颜色的类似物体。在本文中,我们提出了一种与对象知识集成颜色信息的方法,以获得图像的主要信息。与前一个人相比,我们的方法使用图像中的特定对象的颜色直方图,而不是整个图像的颜色直方图来检索相关图像。已经开发了一种原型图像检索系统来证明我们方法的有效性。结果表明,通过使用我们的方法对先前的方法进行了大量改进。

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