Go to DBLP homepageA Conversational Search Framework for Multimedia Archives
Abstract: Conversational search system seek to support users in their search activities to improve the effectiveness and efficiency of search while reducing their cognitive load. The challenges of multimedia search mean that search supports provided by conversational search have the potential to improve the user search experience. For example, by assisting users in constructing better queries and making more informed decisions in relevance feedback stages whilst searching. However, previous research on conversational search has been focused almost exclusively on text archives. This demonstration illustrates the potential for the application of conversational methods in multimedia search. We describe a framework to enable multimodal conversational search for use with multimedia archives. Our current prototype demonstrates the use of an conversational AI assistant during the multimedia information retrieval process for both image and video collections.
External IDs:dblp:conf/ecir/PotyagalovaJ24
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