CBIR Search Engine for User Designed Query (UDQ)

Tatiana Jaworska

2015

Abstract

At present, most Content-Based Image Retrieval (CBIR) systems use query by example (QBE), but its drawback is the fact that the user first has to find an image which he wants to use as a query. In some situations the most difficult task is to find this one proper image which the user keeps in mind to feed it to the system as a query by example. For our CBIR, we prepared the dedicated GUI to construct a user designed query (UDQ). We describe the new search engine which matches images using both local and global image features for a query composed by the user. In our case, the spatial object location is the global feature. Our matching results take into account the kind and number of objects, their spatial layout and object feature vectors. Finally, we compare our matching result with those obtained by other search engines.

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Paper Citation


in Harvard Style

Jaworska T. (2015). CBIR Search Engine for User Designed Query (UDQ) . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 372-379. DOI: 10.5220/0005614703720379


in Bibtex Style

@conference{kdir15,
author={Tatiana Jaworska},
title={CBIR Search Engine for User Designed Query (UDQ)},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005614703720379},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - CBIR Search Engine for User Designed Query (UDQ)
SN - 978-989-758-158-8
AU - Jaworska T.
PY - 2015
SP - 372
EP - 379
DO - 10.5220/0005614703720379