Surveillance video retrieval using effective matching techniques

Challenges in surveillance video retrieval systems rises from two main issues. First, a so-called semantic gap exists between the user's intentions and the retrieval results, which is resulted from a lack of support for various query types, namely: query-by-keyword, query-by-example, query-by-r...

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Main Authors: Chamasemani, Fereshteh Falah, Affendey, Lilly Suriani, Mustapha, Norwati, Khalid, Fatimah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/68594/1/Surveillance%20video%20retrieval%20using%20effective%20matching%20techniques.pdf
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author Chamasemani, Fereshteh Falah
Affendey, Lilly Suriani
Mustapha, Norwati
Khalid, Fatimah
author_facet Chamasemani, Fereshteh Falah
Affendey, Lilly Suriani
Mustapha, Norwati
Khalid, Fatimah
author_sort Chamasemani, Fereshteh Falah
collection UPM
description Challenges in surveillance video retrieval systems rises from two main issues. First, a so-called semantic gap exists between the user's intentions and the retrieval results, which is resulted from a lack of support for various query types, namely: query-by-keyword, query-by-example, query-by-region, and query-by-combination in retrieval. Second, there is a lack of sufficient matching strategies to retrieve the desired information based on the given query types. Therefore, the aim of this paper is to tackle the aforementioned challenges by proposing a retrieval approach. The proposed approach comprises of the query and retrieval processing components, which enable the users to retrieve various query types. The experimental performance results demonstrate the effectiveness of the proposed retrieval approach by improving the accuracy up to 27.8% compared to the previous works. Furthermore the proposed solution has shown reduction in processing time.
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spelling upm.eprints-685942020-05-25T01:47:04Z http://psasir.upm.edu.my/id/eprint/68594/ Surveillance video retrieval using effective matching techniques Chamasemani, Fereshteh Falah Affendey, Lilly Suriani Mustapha, Norwati Khalid, Fatimah Challenges in surveillance video retrieval systems rises from two main issues. First, a so-called semantic gap exists between the user's intentions and the retrieval results, which is resulted from a lack of support for various query types, namely: query-by-keyword, query-by-example, query-by-region, and query-by-combination in retrieval. Second, there is a lack of sufficient matching strategies to retrieve the desired information based on the given query types. Therefore, the aim of this paper is to tackle the aforementioned challenges by proposing a retrieval approach. The proposed approach comprises of the query and retrieval processing components, which enable the users to retrieve various query types. The experimental performance results demonstrate the effectiveness of the proposed retrieval approach by improving the accuracy up to 27.8% compared to the previous works. Furthermore the proposed solution has shown reduction in processing time. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68594/1/Surveillance%20video%20retrieval%20using%20effective%20matching%20techniques.pdf Chamasemani, Fereshteh Falah and Affendey, Lilly Suriani and Mustapha, Norwati and Khalid, Fatimah (2018) Surveillance video retrieval using effective matching techniques. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu, Sabah, Malaysia. (pp. 137-141). 10.1109/INFRKM.2018.8464772
spellingShingle Chamasemani, Fereshteh Falah
Affendey, Lilly Suriani
Mustapha, Norwati
Khalid, Fatimah
Surveillance video retrieval using effective matching techniques
title Surveillance video retrieval using effective matching techniques
title_full Surveillance video retrieval using effective matching techniques
title_fullStr Surveillance video retrieval using effective matching techniques
title_full_unstemmed Surveillance video retrieval using effective matching techniques
title_short Surveillance video retrieval using effective matching techniques
title_sort surveillance video retrieval using effective matching techniques
url http://psasir.upm.edu.my/id/eprint/68594/1/Surveillance%20video%20retrieval%20using%20effective%20matching%20techniques.pdf
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