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Pregled bibliografske jedinice broj: 881114

Evaluating Robustness of Perceptual Image Hashing Algorithms


Drmić, Andrea; Šilić, Marin; Delač, Goran; Vladimir, Klemo; Kurdija, Adrian Satja
Evaluating Robustness of Perceptual Image Hashing Algorithms // Proceedings of the International Conference on Computers in Technical Systems MIPRO 2017
Opatija, 2017. str. 1186-1191 doi:10.23919/MIPRO.2017.7973569 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Evaluating Robustness of Perceptual Image Hashing Algorithms

Autori
Drmić, Andrea ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Kurdija, Adrian Satja

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

Izvornik
Proceedings of the International Conference on Computers in Technical Systems MIPRO 2017 / - Opatija, 2017, 1186-1191

Skup
40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Mjesto i datum
Opatija, Hrvatska, 22-26.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Perceptual Hashing, Image Identification, Robustness

Sažetak
In this paper we evaluate the robustness of perceptual image hashing algorithms. The image hashing algorithms are often used for various objectives, such as images search and retrieval, finding similar images, finding duplicates and near-duplicates in a large collection of images, etc. In our research, we examine the image hashing algorithms for images identification on the Internet. Hence, our goal is to evaluate the most popular perceptual image hashing algorithms with the respect to ability to track and identify images on the Internet and popular social network sites. Our basic criteria for evaluation of hashing algorithms is robustness. We find a hashing algorithm robust if it can identify the original image upon visible modifications are performed, such as resizing, color and contrast change, text insertion, swirl etc. Also, we want a robust hashing algorithm to identify and track images once they get uploaded on popular social network sites such as Instagram, Facebook or Google+. To evaluate robustness of perceptual hashing algorithms, we prepared an image database and we performed various physical image modifications. To compare robustness of hashing algorithms, we computed Precision, Recall and F1 score for each competing algorithm. The obtained evaluation results strongly confirm that P-hash is the most robust perceptual hashing algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
HRZZ-IP-2014-09-9606 - Sustav predlaganja u arhitekturi zasnovanoj na uslugama (RSOA) (Srbljić, Siniša, HRZZ - 2014-09) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Klemo Vladimir (autor)

Avatar Url Goran Delač (autor)

Avatar Url Marin Šilić (autor)

Avatar Url Adrian Satja Kurdija (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi

Citiraj ovu publikaciju:

Drmić, Andrea; Šilić, Marin; Delač, Goran; Vladimir, Klemo; Kurdija, Adrian Satja
Evaluating Robustness of Perceptual Image Hashing Algorithms // Proceedings of the International Conference on Computers in Technical Systems MIPRO 2017
Opatija, 2017. str. 1186-1191 doi:10.23919/MIPRO.2017.7973569 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Drmić, A., Šilić, M., Delač, G., Vladimir, K. & Kurdija, A. (2017) Evaluating Robustness of Perceptual Image Hashing Algorithms. U: Proceedings of the International Conference on Computers in Technical Systems MIPRO 2017 doi:10.23919/MIPRO.2017.7973569.
@article{article, year = {2017}, pages = {1186-1191}, DOI = {10.23919/MIPRO.2017.7973569}, keywords = {Perceptual Hashing, Image Identification, Robustness}, doi = {10.23919/MIPRO.2017.7973569}, title = {Evaluating Robustness of Perceptual Image Hashing Algorithms}, keyword = {Perceptual Hashing, Image Identification, Robustness}, publisherplace = {Opatija, Hrvatska} }
@article{article, year = {2017}, pages = {1186-1191}, DOI = {10.23919/MIPRO.2017.7973569}, keywords = {Perceptual Hashing, Image Identification, Robustness}, doi = {10.23919/MIPRO.2017.7973569}, title = {Evaluating Robustness of Perceptual Image Hashing Algorithms}, keyword = {Perceptual Hashing, Image Identification, Robustness}, publisherplace = {Opatija, Hrvatska} }

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