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- W2889426226 abstract "Multimedia collections are ubiquitous and contain hundreds of hours of video information. The retrieval of a particular scene of a video (Known Item Search (KIS)) in a large collection is a difficult problem, considering the multimodal character of all video shots and the complexity of the query, either visual or textual. We tackle these challenges by fusing, first, multiple modalities in a nonlinear graph-based way for each subtopic of the query. Then, we fuse the top retrieved video shots per sub-query to provide the final list of retrieved shots, which is re-ranked using temporal information. The framework is evaluated in popular KIS tasks in the context of video shot retrieval and provides the largest Mean Reciprocal Rank scores." @default.
- W2889426226 created "2018-09-07" @default.
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- W2889426226 date "2018-06-01" @default.
- W2889426226 modified "2023-10-14" @default.
- W2889426226 title "Fusion of Compound Queries with Multiple Modalities for Known Item Video Search" @default.
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- W2889426226 doi "https://doi.org/10.1109/ivmspw.2018.8448876" @default.
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