Conference paper Open Access

Fusion of Compound Queries with Multiple Modalities for Known Item Video Search

Ilias Gialampoukidis; Anastasia Moumtzidou; Stefanos Vrochidis; Ioannis Kompatsiaris


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        <foaf:name>Ilias Gialampoukidis</foaf:name>
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        <foaf:name>Stefanos Vrochidis</foaf:name>
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    <dct:title>Fusion of Compound Queries with Multiple Modalities for Known Item Video Search</dct:title>
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    <dct:description>&lt;p&gt;Multimedia collections are ubiquitous and very often contain hundreds of hours of video information. The retrieval of a particular scene of a video (Known Item Search) 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. In addition, we fuse the top retrieved video shots per sub-query to provide the final list of retrieved shots, which is then re-ranked using temporal information. The framework is evaluated in popular Known Item Search tasks in the context of video shot retrieval and provides the largest Mean Reciprocal Rank scores.&lt;/p&gt;</dct:description>
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