Analysis of spatial, temporal, and content characteristics of videos in the YFCC100M dataset

Jun Ho Choi, Jong-Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The Yahoo Flickr Creative Commons 100 Million dataset (YFCC100M) is one of the largest public databases containing images and videos and their annotations for research on multimedia analysis. In this paper, we present our study on analysis of characteristics of the 0.8 million videos in the dataset in spatial, temporal, and content perspectives. For this, all the video frames and metadata of the videos are examined. In addition, user-wise analysis of the characteristics is conducted. We make the obtained results publicly available in the form of a metadata dataset for the research community.

Original languageEnglish
Title of host publicationMMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016
PublisherAssociation for Computing Machinery, Inc
Pages27-34
Number of pages8
ISBN (Electronic)9781450345156
DOIs
Publication statusPublished - 2016 Oct 16
Event2016 ACM Workshop on the Multimedia COMMONS, MMCommons 2016 - Amsterdam, Netherlands
Duration: 2016 Oct 16 → …

Publication series

NameMMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016

Other

Other2016 ACM Workshop on the Multimedia COMMONS, MMCommons 2016
CountryNetherlands
CityAmsterdam
Period16/10/16 → …

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Choi, J. H., & Lee, J-S. (2016). Analysis of spatial, temporal, and content characteristics of videos in the YFCC100M dataset. In MMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016 (pp. 27-34). (MMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2983554.2983559