Chapter 5. Similarity-Based Image Retrieval

A big part of the data that we work with is presented as an image, a drawing, or a photo. In this chapter, we will implement a Similarity-Based Image Retrieval without the use of any metadata or concept-based image indexing. We will work with distance metric and dynamic warping to retrieve the most similar images.

In this chapter, we will cover:

  • Image similarity search
  • Dynamic time warping
  • Processing the image dataset
  • Implementing DTW
  • Analyzing the results
  • Summary

Image similarity search

With the emergence of the Internet of Things and autonomous robots, the ability to compare an image from the environment to others from our database is fundamental for understanding its context. Imagine an autonomous car or a ...

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