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


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/b7e7b883-5608-4c47-9554-a473c1adc13d/icmr17_2_preprint.pdf"
      }, 
      "checksum": "md5:bc2e4517e1d2fb10f8266c1d8709cbeb", 
      "bucket": "b7e7b883-5608-4c47-9554-a473c1adc13d", 
      "key": "icmr17_2_preprint.pdf", 
      "type": "pdf", 
      "size": 1213033
    }
  ], 
  "owners": [
    26037
  ], 
  "doi": "10.1145/3078971.3079043", 
  "stats": {
    "version_unique_downloads": 66.0, 
    "unique_views": 110.0, 
    "views": 117.0, 
    "version_views": 117.0, 
    "unique_downloads": 66.0, 
    "version_unique_views": 110.0, 
    "volume": 80060178.0, 
    "version_downloads": 66.0, 
    "downloads": 66.0, 
    "version_volume": 80060178.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1145/3078971.3079043", 
    "latest_html": "https://zenodo.org/record/809680", 
    "bucket": "https://zenodo.org/api/files/b7e7b883-5608-4c47-9554-a473c1adc13d", 
    "badge": "https://zenodo.org/badge/doi/10.1145/3078971.3079043.svg", 
    "html": "https://zenodo.org/record/809680", 
    "latest": "https://zenodo.org/api/records/809680"
  }, 
  "created": "2017-06-16T08:09:27.309578+00:00", 
  "updated": "2020-01-20T16:47:48.499521+00:00", 
  "conceptrecid": "809679", 
  "revision": 8, 
  "id": 809680, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.1145/3078971.3079043", 
    "description": "<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>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "809679"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "809680"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "invid-h2020"
      }, 
      {
        "id": "moving-h2020"
      }
    ], 
    "grants": [
      {
        "code": "693092", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::693092"
        }, 
        "title": "Training towards a society of data-savvy information professionals to enable open leadership innovation", 
        "acronym": "MOVING", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }, 
      {
        "code": "687786", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::687786"
        }, 
        "title": "In Video Veritas \u2013 Verification of Social Media Video Content for the News Industry", 
        "acronym": "InVID", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "Zero-example multimedia event detection", 
      "Video search", 
      "Query representation"
    ], 
    "publication_date": "2017-06-08", 
    "creators": [
      {
        "affiliation": "Information Technologies Institute (ITI) - Centre for Research and Technology Hellas (CERTH)", 
        "name": "Galanopoulos, Damianos"
      }, 
      {
        "affiliation": "Information Technologies Institute (ITI) - Centre for Research and Technology Hellas (CERTH)", 
        "name": "Markatopoulou, Foteini"
      }, 
      {
        "affiliation": "Information Technologies Institute (ITI) - Centre for Research and Technology Hellas (CERTH)", 
        "name": "Mezaris, Vasileios"
      }, 
      {
        "affiliation": "Queen Mary University of London", 
        "name": "Patras, Ioannis"
      }
    ], 
    "meeting": {
      "acronym": "ICMR 2017", 
      "url": "http://icmr2017.ro/", 
      "dates": "6-9 June 2017", 
      "place": "Bucharest, Romania", 
      "title": "ACM International Conference on Multimedia Retrieval 2017"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }
  }
}
117
66
views
downloads
Views 117
Downloads 66
Data volume 80.1 MB
Unique views 110
Unique downloads 66

Share

Cite as