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Pregled bibliografske jedinice broj: 1010771

Chart Classification Using Simplified VGG Model

Bajić, Filip; Job, Josip; Nenadić, Krešimir
Chart Classification Using Simplified VGG Model // 2019 International Conference on Systems, Signals and Image Processing (IWSSIP) / Snježana Rimac-Drlje ; Drago Žagar ; Irena Galić ; Goran Martinović ; Denis Vranješ ; Marija Habijan (ur.).
Osijek: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 229-233 doi:10.1109/IWSSIP.2019.8787299 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Chart Classification Using Simplified VGG Model
(Classification Using Simplified VGG Model)

Autori
Bajić, Filip ; Job, Josip ; Nenadić, Krešimir

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

Izvornik
2019 International Conference on Systems, Signals and Image Processing (IWSSIP) / Snježana Rimac-Drlje ; Drago Žagar ; Irena Galić ; Goran Martinović ; Denis Vranješ ; Marija Habijan - Osijek : Institute of Electrical and Electronics Engineers (IEEE), 2019, 229-233

ISBN
978-1-7281-3227-3

Skup
26th International Conference on Systems, Signals and Image Processing (IWSSIP 2019)

Mjesto i datum
Osijek, Hrvatska, 05.06.2019. - 07.06.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition

Sažetak
From the need to show vast amount of data in a more transparent way, data visualization is created. Data visualization often contains key information that is not listed anywhere in the text and allows the reader to find out important information and longer-term memory. On the other hand, Internet search engines have a problem with filtering data visualization and associating visualization and the query that the user has entered. With the use of data visualization, all blind people and people with impaired vision are left off. This paper uses machine learning for classifying charts in 10 categories. Total accuracy achieved across all categories is 81.67%.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Josip Job (autor)

Avatar Url Krešimir Nenadić (autor)

Avatar Url Filip Bajić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org www.semanticscholar.org www.researchgate.net

Citiraj ovu publikaciju:

Bajić, Filip; Job, Josip; Nenadić, Krešimir
Chart Classification Using Simplified VGG Model // 2019 International Conference on Systems, Signals and Image Processing (IWSSIP) / Snježana Rimac-Drlje ; Drago Žagar ; Irena Galić ; Goran Martinović ; Denis Vranješ ; Marija Habijan (ur.).
Osijek: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 229-233 doi:10.1109/IWSSIP.2019.8787299 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bajić, F., Job, J. & Nenadić, K. (2019) Chart Classification Using Simplified VGG Model. U: Snježana Rimac-Drlje, Drago Žagar, Irena Galić, Goran Martinović, Denis Vranješ & Marija Habijan (ur.)2019 International Conference on Systems, Signals and Image Processing (IWSSIP) doi:10.1109/IWSSIP.2019.8787299.
@article{article, author = {Baji\'{c}, Filip and Job, Josip and Nenadi\'{c}, Kre\v{s}imir}, year = {2019}, pages = {229-233}, DOI = {10.1109/IWSSIP.2019.8787299}, keywords = {Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition}, doi = {10.1109/IWSSIP.2019.8787299}, isbn = {978-1-7281-3227-3}, title = {Chart Classification Using Simplified VGG Model}, keyword = {Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Osijek, Hrvatska} }
@article{article, author = {Baji\'{c}, Filip and Job, Josip and Nenadi\'{c}, Kre\v{s}imir}, year = {2019}, pages = {229-233}, DOI = {10.1109/IWSSIP.2019.8787299}, keywords = {Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition}, doi = {10.1109/IWSSIP.2019.8787299}, isbn = {978-1-7281-3227-3}, title = {Classification Using Simplified VGG Model}, keyword = {Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Osijek, Hrvatska} }

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