Client-driven Lightweight Method to Generate Artistic Media for Feature-length Sports Videos-Reference-Cited by-同舟云学术

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Client-driven Lightweight Method to Generate Artistic Media for Feature-length Sports Videos

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications
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Author:

Mujtaba Ghulam¹,Choi Jaehyuk²,Ryu Eun-Seok³

Affiliation:

1. C-JeS Gulliver Studios, Seoul, Republic of Korea, --- Select a Country ---

2. Department of Software, Gachon University, Seongnam, Republic of Korea, --- Select a Country ---

3. Department of Computer Science Education, Sungkyunkwan University (SKKU), Republic of Korea, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 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. Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-05

2. FRC-GIF: Frame Ranking-Based Personalized Artistic Media Generation Method for Resource Constrained Devices;IEEE Transactions on Big Data;2023

3. LTC-SUM: Lightweight Client-Driven Personalized Video Summarization Framework Using 2D CNN;IEEE Access;2022

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