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This paper proposes a generalized Bayesian strategy for relevance feedback in Region-Based image retrieval The presented feedback technique is based on Bayesian learning method and incorporates a time-varying user model . We give the user model with two terms: a target query and a user conception. The user conception is aimed to learn a parameter set to determine the time-varying matching criterion...
The distribution of pixel colors in an image generally contains interesting information. Recently, many researchers have analyzed the color attributes of an image and used it as the features of the images for querying. Color histogram is one of the most frequently used image features in the field of color-based image retrieval. The color histogram is widely used as an important color feature indicating...
Color features of an image are the most widely used features in content-based image retrieval (CBIR) systems. Specifically histogram-based algorithms are considered to be effective for color image indexing. Color histogram describes the global distribution of pixels of an image which is insensitive to variations in scale and easy to calculate. However, the high dimensionality of feature vectors results...
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