chap8 - Chapter8 Chapter8 ContentBasedImageRetrieval...

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Chapter 8  Chapter 8  Content-Based Image Retrieval Content-Based Image Retrieval
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Query By Keyword : Some textual attributes (keywords) should be maintained for each image. The image can be indexed according to these attributes, so that they can be rapidly retrieved when a query is issued. This type of query can be expressed in Structured Query Language (SQL). Query By Example (QBE): User just show the system a sample image, then the system should be able to return similar images or images containing similar objects. Image Database Queries Image Database Queries
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Measures Measures 1. Color Similarity 1. Texture Similarity 1. Shape Similarity 1. Object & Relationship similarity
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Color Similarity Color Similarity Color percentages matching : R:20%, G:50%, B:30% Color histogram matching D hist (I,Q)=(h(I)-h(Q)) T A(h(I)-h(Q)) A is a similarity matrix colors that are very similar should have similarity values close to one.
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Color layout matching : compares each grid square of the query to the corresponding grid square of a potential matching image and combines the results into a single image distance where C I (g) represents the color in grid square g of a database image I and C Q (g) represents the color in the corresponding grid square g of the query image
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chap8 - Chapter8 Chapter8 ContentBasedImageRetrieval...

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