Content-Based Retrieval in Digital Libraries
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Questions and Answers

What is the primary advantage of text-based search in multimedia databases?

When the database is fully indexed with proper keywords.

Which of the following features are often used in image retrieval?

  • Texture (correct)
  • Video length
  • Color histogram (correct)
  • Sound sampling
  • What does C-BIRD stand for?

    Content-Based Image Retrieval from Digital libraries.

    What is the purpose of a color histogram in image search?

    <p>To match the feature vector of a sample image with feature vectors of images in the database.</p> Signup and view all the answers

    A color histogram counts pixels with specific pixel values in _____ (list three colors).

    <p>Red, Green, Blue</p> Signup and view all the answers

    Histogram intersection is used to compare sound features in multimedia retrieval.

    <p>False</p> Signup and view all the answers

    What step is done in C-BIRD for each target image during preprocessing?

    <p>A color histogram is calculated.</p> Signup and view all the answers

    What happens during the histogram intersection process?

    <p>It matches the histogram of a model image with those in the database.</p> Signup and view all the answers

    Study Notes

    Content Based Retrieval in Digital Libraries

    • Content-based retrieval utilizes multimedia content itself to retrieve information, as opposed to text-based search which relies on keywords.
    • Common image retrieval features used include color histogram, color layout, texture, and their variations.

    C-BIRD

    • C-BIRD (Content-Based Image Retrieval from Digital Libraries) is an image database search engine.
    • Its online database can be searched through various tools, including text annotations, color histogram, color layout, texture layout, illumination invariance, and object model.
    • The GUI allows users to browse the image database and search for specific images.

    Color Histogram

    • It counts pixels with specific Red, Green, and Blue (RGB) values in an image.
    • It is represented as a 3-dimensional array with 256³ bins for images with 8-bit values in each of R, G, B.
    • In C-BIRD, a color histogram is calculated for each image during preprocessing and referenced in the database against user query images.

    Histogram Intersection

    • Histogram intersection is used to measure the similarity between color histograms.

    • Images in the database have normalized histograms with a sum of unity.

    • These histograms are intersected with the query image histogram using the formula:

      intersection =  Σ(min(Hji , Hjm)) 
      

      where j represents the histogram bin, n represents the total number of bins for each histogram, Hji is the histogram bin value for the target image, and Hjm is the histogram bin value for the model (query) image.

    • The resulting intersection value represents the degree of similarity between the query image and each target image in the database.

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    Description

    Explore the fundamentals of content-based retrieval, focusing on multimedia content for information search. Learn how C-BIRD, an image database search engine, employs features like color histograms and textures for effective image retrieval.

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