Modeling Multiple Aesthetic Views for Series Photo Selection
Author:
Affiliation:
1. School of Software, Shandong University, Jinan, China
2. University of Queensland, Brisbane, QLD, Australia
3. University of Tecnology Sydney, Ultimo, NSW, Australia
4. Harbin Institute of Technology (Shenzhen), Shenzhen, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong province
Shandong Excellent Young Scientists Fund
Small and Medium-sized Enterprises Innovation Improvement Fund of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10168263.pdf?arnumber=10168263
Reference63 articles.
1. A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping
2. Aesthetic-Driven Image Enhancement by Adversarial Learning
3. Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval
4. Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement
5. Unsupervised Image and Text Fusion for Travel Information Enhancement
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1. SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems;ACM Transactions on Intelligent Systems and Technology;2024-03-28
2. Interpretation of the Problem of Educational use of Aesthetic Views of Eastern Thinkers in Pedagogical Research;Emergent Journal of Educational Discoveries and Lifelong Learning (EJEDL);2024-02-21
3. Focusing on Subtle Differences: A Feature Disentanglement Model for Series Photo Selection;IEEE Transactions on Multimedia;2024
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