Automatic Detection of Video Shot Boundary in Social Media Using a Hybrid Approach of HLFPN and Keypoint Matching-Reference-Cited by-同舟云学术

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Automatic Detection of Video Shot Boundary in Social Media Using a Hybrid Approach of HLFPN and Keypoint Matching

Published:2018-03 Issue:1 Volume:5 Page:210-219
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Shen Rong-Kuan,Lin Yi-Nan,Juang Tony Tong-Ying,Shen Victor R. L.^ORCID,Lim Soo Yong

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/8302498/08239647.pdf?arnumber=8239647

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2. Shot Segmentation and Replay Detection for Cricket Video Summarization;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

3. Fuzzy models for quasi‐static calculations of single ground plane coupled CPW by CADMFILT software;Computer Applications in Engineering Education;2023-03-24

4. Wipe Scene Change Detection in Object-Camera Motion Based on Linear Regression and an Inflated Spatial-Motion Neural Network;IEEE Access;2023

5. Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiometric Correlation;Smart Computer Vision;2023

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