Name
Abstract | ||
|---|---|---|
With the rapid increase of users of wearable cameras in recent years and of the amount of data they produce, there is a strong need for automatic retrieval and summarization techniques. This work addresses the problem of automatically summarizing egocentric photo streams captured through a wearable camera by taking an image retrieval perspective. After removing non-informative images by a new CNN-based filter, images are ranked by relevance to ensure semantic diversity and finally re-ranked by a novelty criterion to reduce redundancy. To assess the results, a new evaluation metric is proposed which takes into account the non-uniqueness of the solution. Experimental results applied on a database of 7,110 images from 6 different subjects and evaluated by experts gave 95.74% of experts satisfaction and a Mean Opinion Score of 4.57 out of 5.0.
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Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/3133202.3133204 | MM '17: ACM Multimedia Conference
Mountain View
California
USA
October, 2017 |
DocType | Volume | ISBN |
Journal | abs/1511.00438 | 978-1-4503-5503-2 |
Citations | PageRank | References |
4 | 0.39 | 24 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| aniol lidon | 1 | 4 | 0.39 |
| Marc Bolaños | 2 | 74 | 9.24 |
| Mariella Dimiccoli | 3 | 89 | 18.29 |
| P. Radeva | 4 | 115 | 13.89 |
| Maite Garolera | 5 | 22 | 3.97 |
| Xavier Giró | 6 | 288 | 32.23 |