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| Cristian Reyes | Eva Mohedano | Kevin McGuinness | Noel O'Connor | Xavier Giro-i-Nieto |
A joint collaboration between:
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| Insight Centre for Data Analytics | Dublin City University (DCU) | Universitat Politecnica de Catalunya (UPC) | UPC ETSETB TelecomBCN | UPC Image Processing Group |
Abstract
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.
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Publication
Our preprint is available on arXiv.
Please cite with the following Bibtex code:
@inproceedings {Reyes:2016:LTA,
author = {Reyes, Cristian and Mohedano, Eva and McGuinness, Kevin and O{\textquoteright}Connor, N. and Giro-i-Nieto, X.}
title = {Where is my Phone ? Personal Object Retrieval from Egocentric Images},
booktitle = {Proceedings of the First International Workshop on Lifelogging Tools and Applications},
series = {LTA '16},
year = {2016},
location = {Amsterdam, The Netherlands},
publisher = {ACM},
}