Visual complexity analysis using deep intermediate-layer features

• Published in: Computer vision and image understanding Vol. 195; p. 102949
• Main Authors: Saraee, Elham, Jalal, Mona, Betke, Margrit
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.06.2020
• Subjects: Activation energy; Convolutional layers; Convolutional neural network; Deep neural network; Feature extraction; Memorability; Object classification; Scene classification; Visual complexity; Memorability; Visual complexity; Scene classification; Deep neural network; Object classification; Convolutional neural network; Convolutional layers; Feature extraction; Activation energy

In this paper, we focus on visual complexity, an image attribute that humans can subjectively evaluate based on the level of details in the image. We explore unsupervised information extraction from intermediate convolutional layers of deep neural networks to measure visual complexity. We derive an...