DOI RECORD
Text-Multimedia Retrieval: Retrieving Multimedia Data Utilizing Natural Language
DOI10.21203/rs.3.rs-4527142/v1
PublisherSpringer Science and Business Media LLC
Journal / Source—
Published2026-10-11
Metadata Deposited2026-10-11 (updated: 2026-10-11)
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Typeposted-content
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Citations0
References deposited0
Access / license metadataOpen license identified License 1 ↗A reuse license does not by itself establish whether the full text is freely readable.
Abstract
Abstract The advent of multimedia data has revolutionized the way information is presented and consumed. However, efficiently retrieving relevant multimedia content remains a significant challenge. This paper explores the emerging field of text-multimedia retrieval, which leverages natural language processing techniques to retrieve multimedia data based on textual queries. We delve into various methodologies, including text-based image and video retrieval, multimodal fusion techniques, and deep learning approaches for enhancing retrieval accuracy. Additionally, we discuss challenges such as semantic gap and scalability, along with future directions for research in this domain.