Abstract
Media editors in the newsroom are constantly pressed to provide a "like-being there" coverage of live events. Social media provides a disorganised collection of images and videos that media professionals need to grasp before publishing their latest news updated. Automated news visual storyline editing with social media content can be very challenging, as it not only entails the task of finding the right content but also making sure that news content evolves coherently over time. To tackle these issues, this paper proposes a benchmark for assessing social media visual storylines. The SocialStories benchmark, comprised by total of 40 curated stories covering sports and cultural events, provides the experimental setup and introduces novel quantitative metrics to perform a rigorous evaluation of visual storytelling with social media data.
| Original language | English |
|---|---|
| Title of host publication | ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval |
| Publisher | ACM - Association for Computing Machinery |
| Pages | 324-328 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450367653 |
| DOIs | |
| Publication status | Published - 5 Jun 2019 |
| Event | 2019 ACM International Conference on Multimedia Retrieval, ICMR 2019 - Ottawa, Canada Duration: 10 Jun 2019 → 13 Jun 2019 |
Conference
| Conference | 2019 ACM International Conference on Multimedia Retrieval, ICMR 2019 |
|---|---|
| Country/Territory | Canada |
| City | Ottawa |
| Period | 10/06/19 → 13/06/19 |
Keywords
- Benchmark
- Social media
- Storytelling