1. A case study on entropy-aware block-based linear transforms for lossless image compressionBorut Žalik, David Podgorelec, Ivana Kolingerová, Damjan Strnad, Štefan Kohek, 2024, original scientific article Abstract: Data compression algorithms tend to reduce information entropy, which is crucial, especially in the case of images, as they are data intensive. In this regard, lossless image data compression is especially challenging. Many popular lossless compression methods incorporate predictions and various types of pixel transformations, in order to reduce the information entropy of an image. In this paper, a block optimisation programming framework is introduced to support various experiments on raster images, divided into blocks of pixels. Eleven methods were implemented within , including prediction methods, string transformation methods, and inverse distance weighting, as a representative of interpolation methods. Thirty-two different greyscale raster images with varying resolutions and contents were used in the experiments. It was shown that reduces information entropy better than the popular JPEG LS and CALIC predictors. The additional information associated with each block in is then evaluated. It was confirmed that, despite this additional cost, the estimated size in bytes is smaller in comparison to the sizes achieved by the JPEG LS and CALIC predictors.
Keywords: computer science, information entropy, prediction, inverse distance transform, string transformations
Published in DKUM: 07.01.2025; Views: 0; Downloads: 9
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2. Abstracts of the 10th Student Computing Research Symposium (SCORES’24)2024, proceedings Abstract: The 2024 Student Computing Research Symposium (SCORES 2024), organized by the Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI) in collaboration with the University of Ljubljana and the University of Primorska, showcases innovative student research in computer science. This year’s symposium highlights advancements in fields such as artificial intelligence, data science, machine learning algorithms, computational problem-solving, and healthcare data analysis. The primary goal of SCORES 2024 is to provide a platform for students to present their research, fostering early engagement in academic inquiry. Beyond research presentations, the symposium seeks to create an environment where students from different institutions can meet, exchange ideas, and build lasting connections. It aims to cultivate friendships and future research collaborations among emerging scholars. Additionally, the conference offers an opportunity for students to interact with senior researchers from institutions beyond their own, promoting mentorship and broader academic networking.
Keywords: student conference, computer and information science, artificial intelligence, data science, data mining
Published in DKUM: 18.09.2024; Views: 0; Downloads: 32
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3. A new transformation technique for reducing information entropy : a case study on greyscale raster imagesBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Luka Lukač, Niko Lukač, Simon Kolmanič, Krista Rizman Žalik, Štefan Kohek, 2023, original scientific article Abstract: This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied.
Keywords: computer science, algorithm, string transformation, information entropy, Hilbert space filling curve
Published in DKUM: 22.05.2024; Views: 160; Downloads: 17
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4. Proceedings of the 2021 7th Student Computer Science Research Conference (StuCoSReC)2021, proceedings Abstract: The 7th Student Computer Science Research Conference is an answer to the fact that modern PhD and already Master level Computer Science programs foster early research activity among the students. The prime goal of the conference is to become a place for students to present their research work and hence further encourage students for an early research. Besides the conference also wants to establish an environment where students from different institutions meet, let know each other, exchange the ideas, and nonetheless make friends and research colleagues. At last but not least, the conference is also meant to be meeting place for students with senior researchers from institutions others than their own.
Keywords: student conference, computer and information science, artificial intelligence, data science, data mining
Published in DKUM: 13.09.2021; Views: 1360; Downloads: 183
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5. E-everything: e-commerce, e-government, e-household, e-democracy : conference proceedings2001 Keywords: electronic commerce, CD-ROM, computer diskette, compact disc, government, administration, budgets, democration, computer application, users, electronic money, electronic payments, security, data analysis, information system, information science, business, commerce, models, advertising, Internet, computer networks, electronic mail, services, media, public services, regional policy, cases, retail trade
Published in DKUM: 01.06.2012; Views: 1989; Downloads: 36
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6. E-everything: e-commerce, e-government, e-household, e-democracy : proceedings2001, proceedings Keywords: electronic commerce, government, administration, budgets, democration, computer application, users, electronic money, electronic payments, security, data analysis, information system, information science, business, commerce, models, advertising, Internet, computer networks, electronic mail, services, media, public services, regional policy, cases, retail trade
Published in DKUM: 01.06.2012; Views: 2350; Downloads: 58
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