Maximum a Posteriori Probability Estimation for Online Surveillance Video Synopsis-Reference-Cited by-同舟云学术

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Maximum a Posteriori Probability Estimation for Online Surveillance Video Synopsis

Published:2014-08 Issue:8 Volume:24 Page:1417-1429
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Huang Chun-Rong,Chung Pau-Choo Julia,Yang Di-Kai,Chen Hsing-Cheng,Huang Guan-Jie

Funder

National Science Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/6869080/06748870.pdf?arnumber=6748870

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2. TSDNN: tube sorting with deep neural networks for surveillance video synopsis;Multimedia Tools and Applications;2024-01-19

3. Multiview abnormal video synopsis in real-time;Engineering Applications of Artificial Intelligence;2023-08

4. Video Synopsis Algorithms and Framework: A Survey and Comparative Evaluation;Systems;2023-02-17

5. User Preference-Based Video Synopsis Using Person Appearance and Motion Descriptions;Sensors;2023-01-30

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