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Hierarchical entropy and domain interaction to understand the structure in an image

arXiv 2104.09754 ↗First posted 20 Apr 2021cs.CVcited by 0

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Abstract (arXiv)

In this study, we devise a model that introduces two hierarchies into information entropy. The two hierarchies are the size of the region for which entropy is calculated and the size of the component that determines whether the structures in the image are integrated or not. And this model uses two indicators, hierarchical entropy and domain interaction. Both indicators increase or decrease due to the integration or fragmentation of the structure in the image. It aims to help people interpret and explain what the structure in an image looks like from two indicators that change with the size of the region and the component. First, we conduct experiments using images and qualitatively evaluate how the two indicators change. Next, we explain the relationship with the hidden structure of Vermeer's girl with a pearl earring using the change of hierarchical entropy. Finally, we clarify the relationship between the change of domain interaction and the appropriate segment result of the image by an experiment using a questionnaire.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 27 references that are in the map. First posted on arXiv 20 Apr 2021.

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2 of 27 references.

References · 2

  1. 2018The Shape of Art History in the Eyes of the Machinecited by 33
  2. 2018Graph based Entropy for Detecting Explanatory Signs of Changes in Marketcited by 4

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