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Surveillance video retrieval using effective matching techniques


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).


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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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/INFRKM.2018.8464772
Publisher: IEEE
Keywords: Video retrieval; Query processing; Query-by-example; Query-by-region; Surveillance video
Depositing User: Nabilah Mustapa
Date Deposited: 10 Jun 2019 02:43
Last Modified: 25 May 2020 01:47
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2018.8464772
URI: http://psasir.upm.edu.my/id/eprint/68594
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