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.
|Title of host publication||MMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||8|
|Publication status||Published - 2016 Oct 16|
|Event||2016 ACM Workshop on the Multimedia COMMONS, MMCommons 2016 - Amsterdam, Netherlands|
Duration: 2016 Oct 16 → …
|Name||MMCommons 2016 - Proceedings of the 2016 ACM Workshop on the Multimedia COMMONS, co-located with ACM Multimedia 2016|
|Other||2016 ACM Workshop on the Multimedia COMMONS, MMCommons 2016|
|Period||16/10/16 → …|
Bibliographical noteFunding Information:
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the "IT Consilience Creative Program" (IITP-2015-R0346-15-1008) supervised by the IITP (Institute for Information & Communications Technology Promotion).
© 2016 ACM.
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Networks and Communications