Description: Information retrieval in multimodal systems refers to the techniques and methods used to extract data from systems that integrate multiple modalities of information, such as text, images, audio, and video. This approach allows for a richer and more effective interaction with data, as it combines different forms of representation and communication. Multimodal models focus on the fusion of these modalities, meaning they can analyze and process information from various sources simultaneously. This is especially relevant in a world where information is presented in varied formats and where users seek quick and accurate answers. Multimodal information retrieval not only improves the accuracy of results but also enriches the user experience by providing more contextual and relevant responses. For instance, a system that combines text and video can provide more comprehensive information than one that uses text alone. Furthermore, these systems are fundamental in applications such as multimedia content search, virtual assistance, and accessibility, where the integration of different types of data is crucial to meet user needs.
