This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearable camera. Each personal object is modelled by a small set of images that define a query for a visual search engine.The retrieved results are reranked considering the temporal timestamps of the images to increase the relevance of the later detections. Finally, a temporal interleaving of the results is introduced for robustness against false detections. The Mean Reciprocal Rank is proposed as a metric to evaluate this problem. This application could help into developing personal assistants capable of helping users when they do not remember where they left their personal belongings.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Lifelogging; egocentric; retrieval; wearable camera
LTA '16 Proceedings of the first Workshop on Lifelogging Tools and Applications Workshop at ACM Multimedia 2016.
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Association for Computing Machinery. ISBN 978-1-4503-4517-0
SFI/12/RC/2289, Erasmus+ Programme for Student Mobility in the European Union, Generalitat de Catalunya and Centre de Formació Interdisciplinaria Superior (CFIS), The Image Processing Group at the UPC is a SGR14 Consolidated Research Group recognized and sponsored by the Catalan Government (Generalitat de Catalunya) through its AGAUR office
ID Code:
21333
Deposited On:
17 Oct 2016 10:50 by
Eva Mohedano Robles
. Last Modified 06 Nov 2019 14:32