Lec9 - Project Content-Based Image Retrieval 1 Objective...

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1 Project Project Content Content - - Based Based Image Retrieval Image Retrieval
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2 Objective Objective Searching for digital images in a large database by image content Content (feature): colors, shapes, textures, or any other information that can be derived from the image itself Input: a query (an image) Output: a set of images similar to the query Different from text-based image retrieval
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3 Framework Framework Represent each image as a vector of features Compute the Euclidean distances in the vector space between the query and the images in the database Sort the images in the database by their similarities from the query
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4 Feature Feature s s Used Used Color statistics and edge distributions from an image
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5 Color Color Feature Extraction Feature Extraction An image in the RGB space RG B
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6 Color Color Feature Extraction Feature Extraction Convert an image from the RGB space to the HSV (Hue, Saturation, Value) space HS V
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7 Color Color Feature Extraction
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Lec9 - Project Content-Based Image Retrieval 1 Objective...

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