Deep Metric Learning for Near-Duplicate Video Retrieval Leveraging Efficient Semantic Feature Extraction-Reference-Cited by-同舟云学术

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Deep Metric Learning for Near-Duplicate Video Retrieval Leveraging Efficient Semantic Feature Extraction

Published:2024 Issue: Volume:12 Page:88897-88903
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dilawari Aniqa¹^ORCID,Iqbal Sajid²^ORCID,Syed Farial³^ORCID,Mudassar Ilyas Qazi²^ORCID

Affiliation:

1. Department of Computer Science and Information Technology, University of Home Economics, Lahore, Pakistan

2. Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Hofuf, Saudi Arabia

3. University of Regina, Regina, Canada

Funder

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10551845.pdf?arnumber=10551845

Reference36 articles.

1. Enhancing Performance Evaluation for Video Plagiarism Detection Using Local Feature through SVM and KNN algorithm

2. Crowdsourcing-Based Copyright Infringement Detection in Live Video Streams

3. StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems

4. Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data

5. Multi-video summarization based on video-MMR;Li

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