ABSTRACT
The Waisda? video labeling game is a crowsourcing tool to collect user-generated metadata for video clips. It follows the paradigm of games-with-a-purpose, where two or more users play against each other by entering tags that describe the content of the video. Players score points by entering the same tags as one of the other players. As a result each video that is played in the game is annotated with tags that are anchored to a time point in the video. Waisda? has been deployed in two projects with videos from Dutch broadcasters. With the open source version of Waisda? crowdsourcing of video annotation becomes available for any online video collection.
- R. Gligorov, M. Hildebrand, J. van Ossenbruggen, L. Aroyo, and G. Schreiber. An evaluation of labelling-game data for video retrieval. In Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, pages 50--61, Moscow, Russia, March 2013. Google ScholarDigital Library
- R. Gligorov, M. Hildebrand, J. Van Ossenbruggen, G. Schreiber, and L. Aroyo. On the role of user-generated metadata in audio visual collections. In Proceedings of the International Conference on Knowledge Capture (K-CAP), pages 145 -- 151, Banff, Canada, June 2011. Google ScholarDigital Library
- J. Oomen, L. Belice Baltussen, S. Limonard, A. van Ees, M. Brinkerink, L. Aroyo, J. Vervaart, K. Asaf, and R. Gligorov. Emerging practices in the cultural heritage domain - social tagging of audiovisual heritage. In Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, Raleigh, US, April 2010.Google Scholar
- L. von Ahn and L. Dabbish. Labeling images with a computer game. In CHI '04: Proceedings of the SIGCHI conference on Human factors in computing systems, pages 319--326, New York, NY, USA, 2004. ACM. Google ScholarDigital Library
Index Terms
- Waisda?: video labeling game
Recommendations
A data-driven approach for tag refinement and localization in web videos
Our approach locates the temporal positions of tags in videos at the keyframe level.We deal with a scenario in which there is no pre-defined set of tags.We report experiments about the use of different web sources (Flickr, Google, Bing).We show state-of-...
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization
AbstractNowadays, video-sharing portals’ popularity has entailed massive growth in data uploads over the Internet. For several applications (e.g., browsing, retrieval, or recommendation of videos), dealing with vast data volumes has become a ...
Highlights- Exploiting image captioning to simultaneously suggest tags and thumbnails.
- ...
Tagboards for video tagging
MM '08: Proceedings of the 16th ACM international conference on MultimediaThere is an explosion of media content, especially user generated content, on the Internet. Efficient search of media data still remains a distant goal. Tagging has been used recently to bridge the "semantic gap" for images. Tagging of video data poses ...
Comments