Video Summary Based on F-Sift, Tamura Textural and Middle Level Semantic Feature-Reference-Cited by-同舟云学术

Video Summary Based on F-Sift, Tamura Textural and Middle Level Semantic Feature

Published:2016 Issue: Volume:89 Page:870-876
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Ranjan Rajnish K.,Agrawal Anupam

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Y. Li, T. Zhang and D. Tretter, An Overview of Video Abstraction Techniques, Technical Report, HP Laboratory, HP-2001-191, (2001).

2. Video Abstraction: A Systematic Review and Classification;Truong;ACM Transactions on Multimedia Computing Communications, and Applications (TOMCCAP),2007

3. A Framework for Sub-window Shot Detection;Yeo;In Proceedings of International Multimedia Modelling Conference,2005

4. A Formal Study of Shot Boundary Detection;Yuan;IEEE Transactions Circuits Systems Video Technology,2007

5. Video Shot Boundary Detection: Seven Years of TRECVid Activity;Smeaton;Journal of Computer Vision and Image Understanding,2010

Cited by 9 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. Video shot-boundary detection: issues, challenges and solutions;Artificial Intelligence Review;2024-03-30

2. Fuzzy C-mean clustering technique based visual features fusion for automatic video summarization method;Multimedia Tools and Applications;2024-03-20

3. A convolutional neural network based online teaching method using edge-cloud computing platform;Journal of Cloud Computing;2023-03-28

4. IoT and Machine Learning-Based Covid-19 Healthcare Monitoring System Using Face Recognition;Communications in Computer and Information Science;2022

5. Recent trends in crowd analysis: A review;Machine Learning with Applications;2021-06