A HYPOTHESIS FOR THE COGNITIVE DIFFICULTY OF IMAGES

29 Sep 2021  ·  Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Xin Jin, Quanshi Zhang ·

This paper proposes a hypothesis to analyze the underlying reason for the cognitive difficulty of an image from two perspectives, i.e. a cognitive image usually makes a DNN strongly activated by cognitive concepts; discarding massive non-cognitive concepts may also help the DNN focus on cognitive concepts. Based on this hypothesis, we use multi-variate interactions to represent cognitive concepts and non-cognitive concepts contained in an image, and further design a set of image revision operations to decrease the cognitive difficulty of the image. In experiments, we found that the revised image was usually more cognitive than the original one. Besides, we also discovered that strengthening cognitive concepts and weakening non-cognitive concepts could improve the aesthetic level of an image.

PDF Abstract

Code
Add Remove Mark official

No code implementations yet. Submit your code now

Tasks
Add Remove

Datasets

  Add Datasets introduced or used in this paper

Results from the Paper
Add Remove

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods
Add Remove

No methods listed for this paper. Add relevant methods here
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Data policy Cookies policy