Automated Image and Video Quality Assessment for Computational Video Editing

Author:

Lomotin KonstantinORCID,Makarov IlyaORCID

Publisher

Springer International Publishing

Reference24 articles.

1. Amel, A.M., Abdessalem, B.A., Abdellatif, M.: Video shot boundary detection using motion activity descriptor. arXiv preprint arXiv:1004.4605 (April 2010). http://arxiv.org/abs/1004.4605

2. Bosse, S., Maniry, D., Wiegand, T., Samek, W.: A deep neural network for image quality assessment. In: 2016 IEEE International Conference on Image Processing (ICIP). pp. 3773–3777. IEEE (September 2016). https://doi.org/10.1109/ICIP.2016.7533065, http://ieeexplore.ieee.org/document/7533065/

3. Brown, B.: Cinematography: Theory and Practice: Image Making for Cinematographers and Directors. Taylor & Francis (2016). https://books.google.ru/books?id=GiQlDwAAQBAJ

4. Cherif, I., Solachidis, V., Pitas, I.: Shot type identification of movie content. In: 2007 9th International Symposium on Signal Processing and Its Applications, pp. 1–4. IEEE (February 2007). https://doi.org/10.1109/ISSPA.2007.4555491, http://ieeexplore.ieee.org/document/4555491/

5. Ekin, A., Tekalp, A.: Robust Dominant Color Region Detection with Applications to Sports Video Analysis. In: Proceedings 2003 International Conference on Image Processing (Cat. No. 03CH37429) (2003)

Cited by 5 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. Reparameterization for Improved Training and Weight Optimization in Single Image Super-Resolution Networks;2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI);2023-11-20

2. Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images;Computer Optics;2023-10

3. Efficient Transformer for Video Summarization;Advances in Computational Intelligence;2023

4. Group-Level Affect Recognition in Video Using Deviation of Frame Features;Lecture Notes in Computer Science;2022

5. Instagram Hashtag Prediction Using Deep Neural Networks;Advances in Computational Intelligence;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3