June 7, 2020 Conference paper Open Access

Galanopoulos, Damianos; Mezaris, Vasileios

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{
  "description": "<p>In this paper, the problem of unlabeled video retrieval using textual queries is addressed. We present an extended dual encoding network which makes use of more than one encodings of the visual and textual content, as well as two different attention mechanisms. The latter serve the purpose of highlighting temporal locations in every modality that can contribute more to effective retrieval. The different encodings of the visual and textual inputs, along with early/late fusion strategies, are examined for further improving performance. Experimental evaluations and comparisons with state-of-the-art methods document the merit of the proposed network.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "CERTH-ITI", 
      "@type": "Person", 
      "name": "Galanopoulos, Damianos"
    }, 
    {
      "affiliation": "CERTH-ITI", 
      "@type": "Person", 
      "name": "Mezaris, Vasileios"
    }
  ], 
  "headline": "Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-06-07", 
  "url": "https://zenodo.org/record/4244549", 
  "@type": "ScholarlyArticle", 
  "keywords": [
    "Video search", 
    "Video retrieval", 
    "Ad-hoc video search", 
    "Deep learning", 
    "Dual encoding network", 
    "Attention mechanism"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1145/3372278.3390737", 
  "@id": "https://doi.org/10.1145/3372278.3390737", 
  "workFeatured": {
    "alternateName": "ICMR 2020", 
    "@type": "Event", 
    "name": "ACM Int. Conf. on Multimedia Retrieval"
  }, 
  "name": "Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks"
}