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Authors: Rezvan Pakdel and John Herbert

Affiliation: University College Cork, Ireland

Keyword(s): Cloud-based Big Data Analytics, Big Data, OpenCV, Machine Learning, Real-time Object Recognition.

Related Ontology Subjects/Areas/Topics: Big Data Cloud Services ; Cloud Application Architectures ; Cloud Computing ; Cloud Computing Architecture ; Cloud Computing Enabling Technology ; Fundamentals ; High Performance Cloud Computing ; Platforms and Applications

Abstract: This paper presents a Cloud-based framework using parallel data processing to identify and recognize an object from an image. Images contain a massive amount of information. Features such as shape, corner, color, and edge can be extracted from images. These features can be used to recognize an object. In a Cloud-based data analytics framework, feature detection algorithms can be done in parallel to get the result faster in comparison to a single machine. This study provides a Cloud-based architecture as a solution for large-scale datasets to decrease processing time and save hardware costs. The evaluation results indicate that the proposed approach can robustly identify and recognize objects in images.

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Paper citation in several formats:
Pakdel, R. and Herbert, J. (2015). A Cloud-based Data Analysis Framework for Object Recognition. In Proceedings of the 5th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-104-5; ISSN 2184-5042, SciTePress, pages 79-86. DOI: 10.5220/0005409900790086

@conference{closer15,
author={Rezvan Pakdel. and John Herbert.},
title={A Cloud-based Data Analysis Framework for Object Recognition},
booktitle={Proceedings of the 5th International Conference on Cloud Computing and Services Science - CLOSER},
year={2015},
pages={79-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005409900790086},
isbn={978-989-758-104-5},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Cloud-based Data Analysis Framework for Object Recognition
SN - 978-989-758-104-5
IS - 2184-5042
AU - Pakdel, R.
AU - Herbert, J.
PY - 2015
SP - 79
EP - 86
DO - 10.5220/0005409900790086
PB - SciTePress