The rapid evolution of multimedia content creation necessitates efficient and comprehensive editing tools. Traditional methods often fail to deliver quick, intuitive, and secure solutions, especially given the ethical implications of AI-generated content. This paper introduces an AI powered multimedia editing platform designed to address these challenges. Utilizing advanced machine learning technologies such as Convolutional Neural Networks (CNNs) which this platform provides tools that enhance efficiency and ensure the integrity of edited content. The primary objective is to develop a toolbox that streamlines multimedia processing, enabling users to edit their content swiftly and effectively. Additionally, the platform incorporates a watermarking system to embed invisible markers in processed content, crucial for maintaining ethical standards and preventing misuse by ensuring traceability and authenticity of AI-generated modifications. This solution not only promotes ethical AI practices but also increases user trust in AI tools. By integrating watermarking and comprehensive edit histories, the platform addresses concern about the authenticity and ethical use of AI in multimedia. The project's impact includes promoting ethical standards in AI, enhancing trust in AI-powered tools, and boosting market competitiveness and industry leadership. In summary, our AI toolbox for multimedia editing offers a pioneering solution to modern content creation challenges. It combines efficiency, security, and ethical consideration, setting new benchmarks in the multimedia industry and ensuring responsible and effective use of AI technologies.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Yuan, Teh Jun UNSPECIFIED Mohd Suhaimi, Shaffika UNSPECIFIED Ismail, Khairunnisha UNSPECIFIED Huie, Lee Lin UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Control theory Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software |
| Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics |
| Volume: | 2 |
| Page Range: | pp. 574-579 |
| Keywords: | Digital watermarking, AI in media production, Ethics in AI, AI toolbox |
| Date: | 2024 |
| URI: | https://ir.uitm.edu.my/id/eprint/134895 |
134895.pdf
