July 2004
Intermediate to advanced
688 pages
19h 3m
English
Content preview from Emerging Topics in Computer VisionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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8.4. Representation and Indexing
We discussed the ultimate form of spatial data by grouping the data into object silhouettes, clusters of points, or point sets. In the next section, we leave the spatial domain to condense the pictorial information into feature values.
8.4.1. Grouping data
In content-based image retrieval, the image is often divided in parts before features are computed from each part. Partitionings of the image aim at obtaining more selective features by selecting pixels in a tradeoff against having more information in features when no subdivision of the image is used at all. We distinguish the following partitionings:
When searching for an object, it would be most advantageous to do a complete object segmentation first:
Strong ...
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