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ImageCLEF 2019 Lifelog Moment Retrieval Task
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dogariu, Mihai Ionescu, Bogdan |
| Copyright Year | 2019 |
| Abstract | This paper presents the participation of the Multimedia Lab to the 2019 ImageCLEF Lifelog Moment Retrieval task. Given 10 topics in natural language description, participants are expected to retrieve 50 images for each topic that best correspond to its description. Our method uses the data provided by the organizers, without adding any further annotations. We first remove severely blurred images. Then, according to a list of constraints concerning the images’ metadata, we remove uninformative images. Finally, we compute a relevance score based on the detection scores provided by the organizers and select the 50 highest ranked images for submission as these should best match the search query. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.dei.unipd.it/~ferro/CLEF-WN-Drafts/CLEF2019/paper_149.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
