Ai-based Copyright Detection Of An Image In A Video Using Degree Of Similarity And Image Hashing

Abstract

The expanse of information available over the internet makes it difficult to identify whether a specific work is a replica or a duplication of a protected work, especially if we talk about visual representations. Strategies are planned to identify the utilization of the copyrighted image in a report. Still, we want to resolve the issue of involving a copyrighted image in a video and a calculation that could recognize the degree of similarity of the copyrighted picture utilized in the video, even for the pieces of the video that are not featured a lot and in the end perform characterization errands on those edges. Machine learning (ML) and artificial intelligence (AI) are vital to address this problem. Numerous associations have been creating different calculations to screen the identification of copyrighted work. This work means concentrating on those calculations, recognizing designs inside the information, and fabricating a more reasonable model for copyrighted image classification a

Stats

• citations0
• S2 citations—
• github stars0
• HF likes0
• heat score0.00
• arxiv keyashutosh2024ai

Related papers

• Image And Video Mining Through Online Learning (2016)5.84
• Deep Hashing: A Joint Approach For Image Signature Learning (2016)5.24
• Central Similarity Quantization For Efficient Image And Video Retrieval (2019)23.49
• Encode The Unseen: Predictive Video Hashing For Scalable Mid-stream Retrieval (2020)3.58
• Video Retrieval Based On Deep Convolutional Neural Network (2017)9.03
• Deep Supervised Discrete Hashing (2017)0.00
• Dare To Plagiarize? Plagiarized Painting Recognition And Retrieval (2025)0.00
• Attributes Grouping And Mining Hashing For Fine-grained Image Retrieval (2023)10.07