Summary of Ai-based Copyright Detection Of An Image in a Video Using Degree Of Similarity and Image Hashing, by Ashutosh and Rahul Jashvantbhai Pandya
AI-Based Copyright Detection Of An Image In a Video Using Degree Of Similarity And Image Hashing
by Ashutosh, Rahul Jashvantbhai Pandya
First submitted to arxiv on: 14 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Emerging Technologies (cs.ET); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed approach aims to identify whether a specific work is an replica or duplication of a protected work, particularly in the context of visual representations. To address this issue, the authors plan to develop strategies to recognize the utilization of copyrighted images and calculate the degree of similarity between the original and the duplicated work. Machine learning (ML) and artificial intelligence (AI) are crucial in resolving this problem. The study focuses on existing algorithms for detecting copyrighted works, including image processing, convolutional neural networks (CNN), and image hashing. The authors aim to develop a more reasonable model for copyrighted image classification and detection. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re trying to find out if someone copied an image from another source without permission. It’s a big problem on the internet! To solve this issue, researchers are using machine learning (ML) and artificial intelligence (AI). They’re working on special algorithms that can recognize when someone copies an image and how similar it is to the original. This study looks at some of these existing algorithms and tries to make them better. |
Keywords
» Artificial intelligence » Cnn » Image classification » Machine learning
