Abstract
In Chap. 6, we discussed the role of features’ spatial information in enhancing feature coding.In this chapter, we will introduce another strategy for enhancement: modeling high order relationships among codewords [1]. In particular, we will discuss how to exploit the relationship of codewords and how to use it to obtain richer information in feature coding.
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Notes
- 1.
For an image patch with the size of \(16\times 16\), the possible number of gray SIFT descriptors is \(256^{16\times 16}\). But the number of codewords is usually less than a million.
- 2.
To describe a local feature, one or more codewords will be used. As a result, these codewords will generate responses on this local feature.
- 3.
The distance between a point and a domination region is defined by the distance from the point to the angular bisector of the domination angle.
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Huang, Y., Tan, T. (2014). Enhancement via Integrating High Order Coding Information. In: Feature Coding for Image Representation and Recognition. SpringerBriefs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45000-0_7
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DOI: https://doi.org/10.1007/978-3-662-45000-0_7
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