Optimizing Data Collection Processes with AI: Practical Applications and Efficiency Analysis

Abstract

The extraction of information from multimedia files is a critical component in the search for new multimedia information. This study delves into the construction of multimedia systems, examining various data mining techniques and the broader concept of data mining. It provides a comprehensive analysis of the latest approaches, algorithms, and methodologies employed in multimedia data mining. Recognized as one of the most challenging and significant fields in computer science, multimedia data mining addresses numerous complex research questions. This paper explores innovative algorithms and strategies to uncover hidden information within multimedia data sources, discussing the key principles, structures, models, and applications. Additionally, it highlights recent advancements and identifies ongoing challenges in the field.