Review of chart image detection and classification

F Bajić, J Job - International Journal on Document Analysis and …, 2023 - Springer
This paper presents a complete review of different approaches across all components of the
chart image detection and classification up to date. A set of 89 scientific papers is collected …

A multi-purpose shallow convolutional neural network for chart images

F Bajić, O Orel, M Habijan - Sensors, 2022 - mdpi.com
Charts are often used for the graphical representation of tabular data. Due to their vast
expansion in various fields, it is necessary to develop computer algorithms that can easily …

[PDF][PDF] Participatory Visualization Design as an Approach to Minimize the Gap between Research and Application.

S Jänicke, P Kaur, P Kuzmicki, J Schmidt - VisGap@ Eurographics/EuroVis, 2020 - vrvis.at
Despite acceptance in our field, many sophisticated visualization projects suffer from failing
acceptance by the targeted audience. Though the reasons for this circumstance might be …

Chart classification using siamese CNN

F Bajić, J Job - Journal of imaging, 2021 - mdpi.com
In recovering information from the chart image, the first step should be chart type
classification. Throughout history, many approaches have been used, and some of them …

Data extraction of circular-shaped and grid-like chart images

F Bajić, J Job - Journal of imaging, 2022 - mdpi.com
Chart data extraction is a crucial research field in recovering information from chart images.
With the recent rise in image processing and computer vision algorithms, researchers …

Document region classification

S Bhowmik - Document Layout Analysis, 2023 - Springer
After region segmentation, it is necessary to identify the functional labels of the segmented
regions. This is because OCR engines can only consider text regions. Presence of non-text …

Classification of scatter plot images using deep learning

D Bırant, A Akça, B Bozkurt, M Bağlan - Dokuz Eylül Üniversitesi …, 2022 - dergipark.org.tr
Scatter plot is one of the well-known charts and is frequently embedded in different types of
documents such as articles, books, and dissertations. However, the information given in the …

Evaluation of Shallow Convolutional Neural Network in Open-World Chart Image Classification

F Bajić, M Habijan, K Nenadić - Informatica, 2024 - informatica.si
Data's role is pivotal in the era of internet technologies, but unstructured data poses
comprehension challenges. Data visualizations like charts have emerged as crucial tools for …

Chart classification: a survey and benchmarking of different state-of-the-art methods

J Thiyam, SR Singh, PK Bora - International Journal on Document …, 2024 - Springer
With the increase in the number of documents with various types of charts available on the
internet, automatic chart classification has become an essential task for various downstream …

Klasifikacija grafikona primjenom plitkih konvolucijskih neuronskih mreža i izdvajanje podatkovnih značajki iz klasificiranih grafikona

F Bajić - 2024 - repozitorij.unios.hr
Sažetak Korištenje slikovnog prikaza podataka omogućuje jednostavniju pohranu
informacija u dugotrajno pamćenje, zahtijevajući manju količinu pažnje čitatelja. Povijesni …