Fast Shot Boundary Detection Based on Separable Moments and Support Vector Machine-Reference-Cited by-同舟云学术

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Fast Shot Boundary Detection Based on Separable Moments and Support Vector Machine

Published:2021 Issue: Volume:9 Page:106412-106427
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Idan Zinah N.^ORCID,Abdulhussain Sadiq H.^ORCID,Mahmmod Basheera M.^ORCID,Al-Utaibi Khaled A.^ORCID,Al-Hadad Syed Abdul Rahman^ORCID,Sait Sadiq M.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09496657.pdf?arnumber=9496657

Cited by 13 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. Accurate image reconstruction by separable krawtchouk-charlier moments with automatic parameter selection using artificial bee colony optimization;Multimedia Tools and Applications;2024-06-26

2. Robust Clustering-Based Automated Video Shot Boundary Detection Using Handcrafted and Deep Feature Fusion;International Journal on Artificial Intelligence Tools;2024-06-12

3. PyCinemetrics: Computational film studies tool based on deep learning and PySide2;SoftwareX;2024-05

4. Video shot-boundary detection: issues, challenges and solutions;Artificial Intelligence Review;2024-03-30

5. Semantic Scene Object-Camera Motion Recognition for Scene Transition Detection Using Dense Spatial Frame Segments and Temporal Trajectory Analysis;IEEE Access;2024

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