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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{
  "DOI": "10.1109/IVMSPW.2018.8448876", 
  "author": [
    {
      "family": "Ilias Gialampoukidis"
    }, 
    {
      "family": "Anastasia Moumtzidou"
    }, 
    {
      "family": "Stefanos Vrochidis"
    }, 
    {
      "family": "Ioannis Kompatsiaris"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2018, 
        6, 
        10
      ]
    ]
  }, 
  "abstract": "<p>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.</p>", 
  "title": "Fusion of Compound Queries with Multiple Modalities for Known Item Video Search", 
  "id": "2581316", 
  "type": "paper-conference", 
  "event": "2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)"
}
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