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Pregled bibliografske jedinice broj: 979275

Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System


Šerić, Ljiljana; Braović, Maja; Beović, Toni; Viđak, Gordan
Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System // 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech)
Split, 2018. str. 1-5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 979275 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System

Autori
Šerić, Ljiljana ; Braović, Maja ; Beović, Toni ; Viđak, Gordan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech) / - Split, 2018, 1-5

ISBN
978-953-290-083-5

Skup
3rd International Conference on Smart and Sustainable Technologies (SpliTech 2018)

Mjesto i datum
Split, Hrvatska, 26.06.2018. - 29.06.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Metadata ; Forestry ; Cameras ; Image retrieval ; Video surveillance

Sažetak
In this paper we analyse and discuss two different approaches for archival image metadata storage and retrieval in forest fire video surveillance system. Video surveillance is an effective approach for the protection of valuable assets, such as buildings, work facilities and open areas. Forest fire video surveillance systems are used for forest monitoring since they allow rapid reaction in the case of forest fires. Video surveillance systems provide their users with real time images, but there is also a demand for storage of those images for event reconstruction processes. Each image in an archive has metadata associated with it. In this paper we compare two standard approaches for metadata storage: encoding metadata in images, and storing metadata in a separate database. We discuss advantages and disadvantages of these approaches from the aspect of user experience, and in terms of ease of image retrieval, portability, and search speed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Ljiljana Šerić (autor)

Avatar Url Maja Braović (autor)

Citiraj ovu publikaciju:

Šerić, Ljiljana; Braović, Maja; Beović, Toni; Viđak, Gordan
Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System // 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech)
Split, 2018. str. 1-5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Šerić, L., Braović, M., Beović, T. & Viđak, G. (2018) Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System. U: 2018 3rd International Conference on Smart and Sustainable Technologies (SpliTech).
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Braovi\'{c}, Maja and Beovi\'{c}, Toni and Vi\djak, Gordan}, year = {2018}, pages = {1-5}, keywords = {Metadata, Forestry, Cameras, Image retrieval, Video surveillance}, isbn = {978-953-290-083-5}, title = {Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System}, keyword = {Metadata, Forestry, Cameras, Image retrieval, Video surveillance}, publisherplace = {Split, Hrvatska} }
@article{article, author = {\v{S}eri\'{c}, Ljiljana and Braovi\'{c}, Maja and Beovi\'{c}, Toni and Vi\djak, Gordan}, year = {2018}, pages = {1-5}, keywords = {Metadata, Forestry, Cameras, Image retrieval, Video surveillance}, isbn = {978-953-290-083-5}, title = {Metadata-Oriented Concept-Based Image Retrieval for Forest Fire Video Surveillance System}, keyword = {Metadata, Forestry, Cameras, Image retrieval, Video surveillance}, publisherplace = {Split, Hrvatska} }




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