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 …
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
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 …
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.
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
informacija u dugotrajno pamćenje, zahtijevajući manju količinu pažnje čitatelja. Povijesni …