October 12, 2020 Conference paper Open Access

Zwicklbauer, Miggi; Lamm, Willy; Gordon, Martin; Apostolidis, Konstantinos; Philipp, Basil; Mezaris, Vasileios

Citation Style Language JSON Export

{
  "DOI": "10.1145/3422839.3423061", 
  "author": [
    {
      "family": "Zwicklbauer, Miggi"
    }, 
    {
      "family": "Lamm, Willy"
    }, 
    {
      "family": "Gordon, Martin"
    }, 
    {
      "family": "Apostolidis, Konstantinos"
    }, 
    {
      "family": "Philipp, Basil"
    }, 
    {
      "family": "Mezaris, Vasileios"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        10, 
        12
      ]
    ]
  }, 
  "abstract": "<p>This paper presents a method to interactively create a new Sandm&auml;nnchen story. We built an application which is deployed on a smart speaker, interacts with a user, selects appropriate segments from a database of Sandm&auml;nnchen episodes and combines them to generate a new story that is compatible with the user requests. The underlying video analysis technologies are presented and evaluated. We additionally showcase example results from using the complete application, as a proof of concept.</p>", 
  "title": "Video Analysis for Interactive Story Creation: The Sandm\u00e4nnchen Showcase", 
  "id": "4244508", 
  "type": "paper-conference", 
  "event": "AI4TV workshop at ACM Multimedia 2020 (AI4TV @ ACM MM 2020)"
}