A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR)-Reference-Cited by-同舟云学术

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A learning-based visual saliency fusion model for High Dynamic Range video (LBVS-HDR)

Published:2015-08 Issue: Volume: Page:
ISSN:
Container-title:2015 23rd European Signal Processing Conference (EUSIPCO)
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Author:

Banitalebi-Dehkordi Amin,Dong Yuanyuan,Pourazad Mahsa T.,Nasiopoulos Panos

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7362053/7362087/07362642.pdf?arnumber=7362642

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AVT-VQDB-UHD-1-HDR: An Open Video Quality Dataset for Quality Assessment of UHD-1 HDR Videos;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18

2. Multi‐exposure embeddings for graph learning: Towards high dynamic range image saliency prediction;IET Image Processing;2024-02-27

3. Visual Attention-aware High Dynamic Range Quantization for HEVC Video Coding;IEEE Transactions on Circuits and Systems for Video Technology;2021

4. Estimating Visual Saliency for Omnidirectional HDR Images;Analyzing Future Applications of AI, Sensors, and Robotics in Society;2021

5. Multi-Exposure Decomposition-Fusion Model for High Dynamic Range Image Saliency Detection;IEEE Transactions on Circuits and Systems for Video Technology;2020-12

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