A mobile app for removing duplicate multimedia images

Abstract

With the development of multimedia technology and the popularity of smartphones, the collection of multimedia information from various applications has rapidly grown. This information encompasses text, images, video, and audio compositions. This multimedia information has not only transformed the way we communicate and share content but has also posed new challenges and opportunities in fields such as data analysis, content creation, and information management. Consequently, multimedia education has become the focal point for research institutions and businesses. The modern solution faces two main challenges: expensive uptime and comparative speed. Therefore, this study first introduces a washing method called Permutation (OPH) to reduce expensive working time. Furthermore, the study explores innovative techniques to enhance the comparative speed of the modern solution, ultimately aiming to achieve a more efficient and cost-effective system. With the OPH, a permutation wash (GOPH) has been developed, along with several useful techniques to address pressure changes. This development is based on the fact that most multimedia files differ from one another. A new hashing method, known as Hierarchical Permutation Hash (HOPH), has been created to enhance productivity. Extensive testing with real multimedia files clearly demonstrates that HOPH is five to seven times faster than Minis' while maintaining the same level of accuracy. HOPH achieves this remarkable speed improvement by efficiently leveraging hierarchical structures in data, making it a promising solution for a wide range of multimedia applications.