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Questions and Answers
What does CBIR stand for?
In content-based image retrieval, what are the visual features used for comparison?
What is the purpose of text-based image retrieval (TBIR)?
Which distance metric is commonly used in CBIR to measure similarity between images based on their visual features?
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What are the two groups into which CBIR is divided?
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What kinds of databases are commonly used in Content-Based Image Retrieval (CBIR)?
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What is the main challenge with image retrieval?
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What are the right keywords used to index images with the Corbis system?
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Which system uses a thesaurus constructed from user queries for image retrieval?
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What does IBM’s QBIC (Query by Image Content) use for image retrieval?
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Which system relies on segmenting images based on color plus texture for retrieval?
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What type of features are global features in the context of image retrieval?
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Which type of features provide 1 vector from the whole image and are computationally simple but unable to capture spatial information?
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What is a major drawback of local features in image retrieval?
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'Laws', 'Gabor filters', 'LBP', and 'GLCM' are examples of features related to:
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What does TBIR (Text-Based Image Retrieval) rely on for retrieving similar images?
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Which distance metric is commonly used in CBIR to measure the similarity between images based on their visual features?
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In CBIR, what constitutes a match when searching for images in a database?
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What are 'Laws', 'Gabor filters', 'LBP', and 'GLCM' examples of in the context of image retrieval?
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What is the main purpose of segmenting images based on color plus texture for retrieval?
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What kind of databases are commonly used in Content-Based Image Retrieval (CBIR)?
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What is the main challenge with image retrieval?
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What does the QBIC (Query by Image Content) system use for image retrieval?
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Which system relies on segmenting images based on color plus texture for retrieval?
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What are the right keywords used to index images with the Corbis system?
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What are image features used for comparison in content-based image retrieval?
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What is the purpose of text-based image retrieval (TBIR)?
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Which type of features provide 1 vector from the whole image and are computationally simple but unable to capture spatial information?
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What type of databases are commonly used in Content-Based Image Retrieval (CBIR)?
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Which distance metric is commonly used in CBIR to measure similarity between images based on their visual features?
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Study Notes
Content-Based Image Retrieval (CBIR)
- CBIR stands for Content-Based Image Retrieval.
- In CBIR, visual features used for comparison include color, texture, shape, and spatial relationships.
- CBIR is divided into two groups: feature-based and annotation-based.
Text-Based Image Retrieval (TBIR)
- TBIR relies on keywords for retrieving similar images.
- The purpose of TBIR is to retrieve images based on text annotations or keywords.
Image Features and Databases
- Global features provide one vector from the whole image, are computationally simple, but unable to capture spatial information.
- Local features provide multiple vectors from different regions of the image, capturing spatial information, but are computationally complex.
- A major drawback of local features is the high dimensionality of the feature space.
- Image features used for comparison in CBIR include color, texture, shape, and spatial relationships.
- Common databases used in CBIR include relational databases and object-oriented databases.
Image Retrieval Challenges
- The main challenge with image retrieval is the semantic gap between low-level visual features and high-level semantic concepts.
- Another challenge is the high dimensionality of the feature space.
Image Retrieval Systems
- The Corbis system uses keywords for indexing images.
- IBM's QBIC (Query by Image Content) system uses visual features for image retrieval.
- The system that relies on segmenting images based on color plus texture for retrieval is the color-texture-based system.
- 'Laws', 'Gabor filters', 'LBP', and 'GLCM' are examples of texture features used in image retrieval.
Distance Metrics
- The Euclidean distance metric is commonly used in CBIR to measure similarity between images based on their visual features.
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Description
Test your knowledge about content-based image retrieval (CBIR) with this quiz covering topics like CBIR applications, image features, similarity metrics, and datasets.
