Abstract
The growth of media archives (including text, speech, video and audio) has led to significant interest in developing search methods for multimedia content. An ongoing challenge of multimedia search is user interaction during the search process, including specification of search queries, presentation of retrieved content and user feedback. In parallel with this, recent years have seen increasing interest in conversational search methods enabling users to engage in a dialogue with an AI agent that supports their search activities. Conversational search seeks to enable users to find useful content more easily, quickly and reliably. To date, research in conversational search has focused on text archives. This project explores the integration of conversational search methods within multimedia search.
Supported by the SFI Centre for Research Training (CRT) in Digitally-Enhanced Reality (d-real).
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Acknowledgement
This work was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224.
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Potyagalova, A. (2023). Conversational Search for Multimedia Archives. In: Kamps, J., et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham. https://doi.org/10.1007/978-3-031-28241-6_53
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DOI: https://doi.org/10.1007/978-3-031-28241-6_53
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