Structured Feature Representation for Image Retrieval
نویسنده
چکیده
I evaluate an approach to compare images using a structured feature representation based on graph entropy. The effect, a pairwise similarity measure among images, may be used for retrieval and classification of images. I begin the paper by detailing how to select and extract features from an image in order to build a weighted graph while still taking into account the spatial organization of the content. This is in contrast to widely used bag-of-features approaches which rely on
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تاریخ انتشار 2008