Abstract
Our survey of the Flickr photo site's Creative Commons attribution licensed images reveals that there is a wide variety of high quality of relevant stock images available. However, searching the images can be demanding since the image metadata is inconsistent. The main problem of finding open images is that the search tools are mostly based on user generated tags. The search results would benefit from human sorting and simple machine vision analysis. These steps might be able to close the gap between commercial stock photo and open image collections.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th International Academic MindTrek Conference |
| Subtitle of host publication | Envisioning Future Media Environments, MindTrek 2011 |
| Publisher | ACM |
| Pages | 265-268 |
| Number of pages | 4 |
| ISBN (Print) | 9781450308168 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A4 Conference publication |
| Event | MindTrek Conference - Tampere, Finland Duration: 22 Sept 2015 → 24 Sept 2015 Conference number: 19 |
Publication series
| Name | Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, MindTrek 2011 |
|---|
Conference
| Conference | MindTrek Conference |
|---|---|
| Abbreviated title | MindTrek |
| Country/Territory | Finland |
| City | Tampere |
| Period | 22/09/2015 → 24/09/2015 |
Keywords
- Creative Commons
- Flickr
- image search
- ImageNet
- metadata
- stock photo
- tagging
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