Right Inflight? A Dataset for Exploring the Automatic Prediction of Movies Suitable for a Watching Situation

Michael Riegler, Martha Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Stensland

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)


In this paper, we present the dataset Right Inflight developed to support the exploration of the match between video content and the situation in which that content is watched. Specifically, we look at videos that are suitable to be watched
on an airplane, where the main assumption is that that viewers watch movies with the intent of relaxing themselves and letting time pass quickly, despite the inconvenience and discomfort of flight. The aim of the dataset is to support the
development of recommender systems, as well as computer vision and multimedia retrieval algorithms capable of automatically predicting which videos are suitable for inflight consumption. Our ultimate goal is to promote a deeper understanding of how people experience video content, and of how technology can support people in finding or selecting video content that supports them in regulating their internal states in certain situations. Right Inflight consists of 318
human-annotated movies, for which we provide links to trailers, a set of pre-computed low-level visual, audio and text features as well as user ratings. The annotation was performed by crowdsourcing workers, who were asked to judge
the appropriateness of movies for inflight consumption.
Original languageEnglish
Title of host publicationMMSys'16 - Proceedings of the 7th International Conference on Multimedia Systems
EditorsC. Timmerer
Place of PublicationNew York, NJ
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)978-1-4503-4297-1
Publication statusPublished - May 2016
EventMMSys 2016: 7th ACM International Conference on Multimedia Systems - Klagenfurt, Austria
Duration: 10 May 201613 May 2016
Conference number: 7


ConferenceMMSys 2016
Internet address


  • Multimedia
  • Intent
  • Context
  • Data Set


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