@inproceedings{56a6db61dffe4e2eb31225bd88d0ea65,
title = "Lightweight video object recognition based on sensor fusion",
abstract = "While there are several promising approaches for visual object recognition the application of lightweight devices under varying image conditions and using low quality images still causes lots of problems to be solved. We introduce a new retrieval mechanism including standard orientation sensors helping the visual recognition process. We apply a view based model of the objects and the matching of the query and candidate images is based on compact image descriptors coupled with relative orientation. Besides introducing the concept we show the effectiveness of our approach through two datasets using noisy and blurred images.",
keywords = "COIL-100, image retrieval, object recognition, orientation sensor, view centered recognition",
author = "L{\'a}szl{\'o} Cz{\'u}ni and Metwally Rashad",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015 ; Conference date: 29-10-2015 Through 30-10-2015",
year = "2015",
month = dec,
day = "3",
doi = "10.1109/IWCIM.2015.7347087",
language = "English",
series = "2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015",
address = "United States",
}