Conference paper Open Access

Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Galanopoulos, Damianos; Markatopoulou, Foteini; Mezaris, Vasileios; Patras, Ioannis


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{
  "DOI": "10.1145/3078971.3079043", 
  "author": [
    {
      "family": "Galanopoulos, Damianos"
    }, 
    {
      "family": "Markatopoulou, Foteini"
    }, 
    {
      "family": "Mezaris, Vasileios"
    }, 
    {
      "family": "Patras, Ioannis"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2017, 
        6, 
        8
      ]
    ]
  }, 
  "abstract": "<p>Zero-example event detection is a problem where, given an event query as input but no example videos for training a detector, the system retrieves the most closely related videos. In this paper we present a fully-automatic zero-example event detection method that is based on translating the event description to a predefined set of concepts for which previously trained visual concept detectors are available. We adopt the use of Concept Language Models (CLMs), which is a method of augmenting semantic concept definition, and we propose a new concept-selection method for deciding on the appropriate number of the concepts needed to describe an event query. The proposed system achieves state-of-the-art performance in automatic zero-example event detection.</p>", 
  "title": "Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection", 
  "type": "paper-conference", 
  "id": "809680"
}
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