Saraee et al., 2020 - Google Patents
Visual complexity analysis using deep intermediate-layer featuresSaraee et al., 2020
View HTML- Document ID
- 6753789911314673308
- Author
- Saraee E
- Jalal M
- Betke M
- Publication year
- Publication venue
- Computer Vision and Image Understanding
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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 …
- 230000000007 visual effect 0 title abstract description 233
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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- G06K9/4652—Extraction of features or characteristics of the image related to colour
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