Matija Marolt

Matija Marolt
University of Ljubljana · Faculty of Computer and Information Science

About

128
Publications
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829
Citations

Publications

Publications (128)
Preprint
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We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibility of the instances in each group. Unlike previous smart visibility approaches, our approach controls...
Article
Background and objectives: In recent years, electron microscopy is enabling the acquisition of volumetric data with resolving power to directly observe the ultrastructure of intracellular compartments. New insights and knowledge about cell processes that are offered by such data require a comprehensive analysis which is limited by the time-consumin...
Article
Full-text available
Self-regulated learning (SRL) plays an important role in successful learning with hypertext. The use of appropriate SRL strategies helps students acquire new knowledge more efficiently. We investigated the use of SRL strategies in individual learning from expository science hypertext, the correlations between different measures of self-regulation,...
Article
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The importance of self-regulated learning (SRL) has increased during the COVID-19 pandemic and measures for assessing students' self-regulation skills and knowledge are greatly needed. We present the results of the first thorough adaptation of the Children's Perceived use of Self-Regulated Learning Inventory (CP-SRLI). The inventory, consisting of...
Article
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V članku predstavljamo hibridno difuzijsko metodo za interaktivno osvetljevanje in upodabljanje volumetričnih podatkov. Metoda temelji na konvekcijsko-difuzijskem modelu, ki neposredno osvetlitev opisuje s konvekci- jskim, sipanje pa z difuzijskim procesom. V naši metodi smo konvekcijo nadomestili s sledenjem poti. Metodo smo performančno in kvalit...
Article
E-gradiva in e-učbeniki si počasi utirajo pot v naše šole. Njihov pravi pomen se je pokazal tudi ob zadnji epidemiji, ko so bile šole zaprte, učenci pa večkrat prepuščeni sami sebi in angažiranosti svojih staršev. Za uspešno učenje z uporabo e-gradiv mora učenec uporabiti primerne strategije samoregulacije učenja, ki mu omogočajo, da doseže zastavl...
Article
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Herein, we report a computational algorithm that follows a spectroscopist-driven elucidation process of the structure of an organic molecule based on IR, 1 H and 13 C NMR, and MS tabular data. The algorithm is independent from database searching and is based on a bottom-up approach, building the molecular structure from small structural fragments v...
Article
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Melody prediction is an important aspect of music listening. The success of prediction, i.e., whether the next note played in a song is the same as the one predicted by the listener, depends on various factors. In the paper, we present two studies, where we assess how music familiarity and music expertise influence melody prediction in human listen...
Article
V clanku obravnavamo neposredno upodabljanje volumnov, ki vsebujejo številne podobne primerke struktur, kot so slike polikristalnih materialov, z vlakni ojacenih polimerov in znotrajceličnih struktur. V teh primerih je gostota primerkov tako velika, da obstojece metode za upodabljanje ne omogočajo dobrega vpogleda v notranjost volumnov zaradi kolic...
Conference Paper
Full-text available
We present the development and evaluation of a gamified rhythmic dictation application for music theory learning. The application's focus is on mobile accessibility and user experience, so it includes intuitive controls for input of rhythmic exercises, a responsive user interface, several gamification elements and a flexible exercise generator. We...
Article
Full-text available
We present the development and evaluation of a gamified rhythmic dictation application for music theory learning. The application was developed as a web application in the existing Troubadour platform for music ear training. The focus of the developed application was on user experience and engagement. With regards to the former, we developed a resp...
Chapter
In this chapter we present an overview of web-based frameworks for visualisation of medical and biological data, with emphasis on visualisation of volumetric data such as radiological data (e.g. magnetic resonance imaging, computed tomography or positron emission tomography) and microscopy data (e.g. focused ion beam scanning electron microscopy)....
Article
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Direct point-cloud visualisation is a common approach for visualising large datasets of aerial terrain LiDAR scans. However, because of the limitations of the acquisition technique, such visualisations often lack the desired visual appeal and quality, mostly because certain types of objects are incomplete or entirely missing (e.g., missing water su...
Article
Automatic segmentation of intracellular compartments is a powerful technique, which provides quantitative data about presence, spatial distribution, structure and consequently the function of cells. With the recent development of high throughput volumetric data acquisition techniques in electron microscopy (EM), manual segmentation is becoming a ma...
Article
Full-text available
Troubadour platform is an open-source personalized and adaptive web platform for ear training. The platform was developed to support music theory classes with automated music-theory-related exercises. In this paper, we present our three-stage development methodology, which incorporated the needs and feedback from both teachers and students to build...
Article
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This paper presents a model capable of learning the rhythmic characteristics of a music signal through unsupervised learning. The model learns a multi-layer hierarchy of rhythmic patterns ranging from simple structures on lower layers to more complex patterns on higher layers. The learned hierarchy is fully transparent, which enables observation an...
Article
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Segmentacija celičnih predelkov je proces, s pomočjo katerega dobimo kvantitativne informacije o prisotnosti, prostorski porazdelitvi, strukturi in posledično funkciji organizacijskih enot celice, t.i. celičnih predelkov. Z nedavnim razvojem metod elektronske mikroskopije je postal proces ročne segmentacije volumetričnih podatkov ozko grlo v biomed...
Poster
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The posters are displaying the visualization of microbiological volumetric microscopy data with multiple scattering volumetric path-tracing implemented in web-technology using WebGL 2.0. The data was acquired with the use of the FIB-SEM acquisition technique which was segmented into mitochondria and fusiform vesicles using a deep learning approach...
Chapter
In this paper, we present a novel web-based collaborative data visualization approach combining the output of multiple rendering methods into a final seamless merged visualization. We have extended an existing web-based visualization framework Med3D with support for additional visualization plugins and an option for merging the outputs into a seaml...
Conference Paper
Full-text available
Users of a recommender system may be requested to express their preferences about items either with evaluations of items (e.g. a rating) or with comparisons of item pairs. In this work we focus on the acquisition of pairwise preferences in the music domain. Asking the user to explicitly compare music, i.e., which, among two listened tracks, is pref...
Article
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The article presents a method for segmentation of ethnomusicological field recordings. Field recordings are integral documents of folk music performances captured in the field, and typically contain performances, intertwined with interviews and commentaries. As these are live recordings, captured in non-ideal conditions, they usually contain signif...
Article
Metoda sledenja potem je trenutni de facto standard za fotorealistično upodabljanje 3D prostorov zaradi svoje konceptualne in algoritmične enostavnosti. V zadnjih letih je bila uspešno uporabljena za upodabljanje prosojnih medijev in volumetričnih podatkov, a se njena širša uporaba ni prijela. Večina implementacij namreč za hitrejše doseganje rezul...
Article
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The article presents an experimental study of the emotional and color perception of music, focusing on folk music in comparison with other musical genres. The analysis showed that some musical emotions are conveyed differently between different genres. Overall, Folk genre had the most balanced distribution of the emotions used in the ratings, along...
Article
The paper presents a user study comparing the performance and usability of different input devices for precise manipulation of 3D objects: a regular mouse, a 3D mouse, and the gesture-based Leap Motion Controller. We show that the 3D mouse is well suited for the task, as it yielded the lowest rotation error rate and best overall usability, while ta...
Preprint
Full-text available
In this paper we present a visualization system for particle collisions in high-energy physics. During the experiments in particle physics a large amount of data is acquired, used for event reconstruction. For better understanding suitable visualization is needed. This poses a big challenge due to large amount of data, especially when we want to ac...
Chapter
Full-text available
In this paper, we present a web-based system for visualization of flow simulation results in the vascular system for use with consumer-level hardware. The presented tool allows users to design, execute and visualize a flow simulation with a simple workflow on a desktop computer or a mobile device. The web interface allows users to select a vascular...
Conference Paper
Path tracing has become a de facto standard for photo-realistic rendering due to its conceptual and algorithmic simplicity. Over the last few years, it has been successfully applied to the rendering of participating media, although it has not seen widespread adoption. Most implementations are targeted at specific platforms or hardware, which makes...
Chapter
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New graphics APIs require users to implement a lot of needed functionality, such as memory management, by themselves. In this paper we present an abstraction layer build on top of such API, in our case the Vulkan API, for purpose of off-screen rendering of large data. We also present a use case for such abstraction layer implementation – a remote r...
Article
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This paper presents a compositional hierarchical model for pattern discovery in symbolic music. The model can be regarded as a deep architecture with a transparent structure. It can learn a set of repeated patterns within individual works or larger corpora in an unsupervised manner, relying on statistics of pattern occurrences, and robustly infer t...
Conference Paper
Full-text available
We present a research tool for user preference elicitation that collects both explicit user feedback and unobtrusively acquired facial expressions. The concrete implementation is a web-based user interface where the user is presented with two music excerpts. After listening to both, the user provides a pairwise score (i.e. which of the two items is...
Article
This paper presents a new multimodal dataset Moodo that can aid the development of affective music information retrieval systems. Moodo’s main novelties are a multimodal approach that links emotional and color perception to music and the inclusion of user context. Analysis of the dataset reveals notable differences in emotion-color associations and...
Article
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The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation, as well as robustness and speed which make it suitable for real-world and real-time use. The model...
Article
Full-text available
In this paper, a system for rendering voxel (3D pixel)-based worlds is presented. The system enables the generation of such worlds from LiDAR and orthophoto data by discretizing LiDAR data with a resolution of 1 m. In world generation, the embedded basic semantic descriptors f LiDAR data are used, enhanced with additional classes acquired from colo...
Conference Paper
Full-text available
The paper introduces Stripe, an interactive continuous scale for online surveys that makes it easy to compare multiple answers on a single screen. The Stripe is evaluated as an alternative to the n-point Likert scale, which is commonly used in online usability questionnaires like the System Us-ability Scale (SUS). The paper presents the results of...
Conference Paper
Full-text available
In this paper we present a novel integration of four remote collaboration modalities into an existing web-based medical data visualization framework: (1) visualization data sharing, (2) camera view sharing, (3) data annotation sharing and (4) chat. The integration of remote collaboration modalities was done for two reasons: for getting the second o...
Conference Paper
Full-text available
This paper presents our compositional hierarchical model for pattern discovery in symbolic music SymCHM and its extension SymCH-MMerge. The model uses unsupervised learning to build a hierarchical structure reflecting the patterns present in the input music representation. It can generate several competing hypotheses on the found patterns, so a pat...
Article
This paper presents a novel method for transcription of folk music that exploits its specifics to improve transcription accuracy. In contrast to most commercial music, folk music recordings may contain various inaccuracies as they are usually performed by amateur musicians and recorded in the field. If we use standard approaches for transcription,...
Conference Paper
Full-text available
In this paper, we present a distributed ray tracing system for rendering voxelized LIDAR geospatial data. The system takes LIDAR or other voxel data of a broad region as an input from a remote dataset, prepares the data for faster access by caching it in a local database, and serves the data through a voxel server to the rendering client, which can...
Conference Paper
Full-text available
In this paper we present a web based visualization framework which primarily focuses on the visualization of medical 3D mesh and volumetric data. This framework offers visualization capabilities like 3D mesh rendering, scene navigation and indirect volume rendering via volume to mesh conversion implemented with computation-ally efficient Marching c...
Poster
Full-text available
We present a compositional hierarchical model for symbolic music representations (SymCHM). The SymCHM is a deep architecture model with a transparent multi-layer structure. The model can be used for pattern discovery, as well as music music similarity. It can learn a set of representative repeated patterns of individual works or larger corpora in a...
Conference Paper
Full-text available
This submission is an extension to the SymCHM approach, submitted to Mirex 2015 Discovery of Repeated Themes & Sections. While retaining the compositional approach, we further improved the results by refining the output the SymCHM, using a technique of pattern merging and output refinement.
Chapter
This chapter presents our findings on emotional and color perception of music. It emphasizes the importance of user-aware music information retrieval (MIR) and the advantages that research on emotional processing and interaction between multiple modalities brings to the understanding of music and its users. Analyses of results show that correlation...
Research
Full-text available
The compositional hierarchical model has been well explored for several tasks in the field of music information retrieval, including the automated chord estimation and multiple fundamental frequency estimation. This submission introduces the compositional approach to the symbolic representations of the music scores by using the model’s structure wh...
Article
Full-text available
The paper presents a novel method for automatic segmentation of folk music field recordings. The method is based on a distance measure that uses dynamic time warping to cope with tempo variations and a dynamic programming approach to handle pitch drifting for finding similarities and estimating the length of repeating segment. A probabilistic frame...
Chapter
Advances in multimedia and information systems have shifted the focus from general content repositories towards personalized systems. Much effort has been put into modeling and integration of affective states with the purpose of improving overall user experience and functionality of the system. In this chapter, we present a multi-modal dataset of u...
Article
Full-text available
Competing in the market means constant development throughout all areas, also in information about business processes, the development of which has significantly increased over last sixty years. Results of a research dealt with how the Slovenian textile, clothing and leather production (TOUP) industries have followed this development are presented...
Conference Paper
Full-text available
We present the WebCHM — a web based tool for music analysis, transcription and annotation. The tool is based on our compositional hierarchical model (CHM) for music modeling [1] and has several goals: to provide a free and accessible way for researchers to evaluate the CHM on their datasets; to provide a web-based service for MIR-related music anal...
Conference Paper
Full-text available
The educational and IT communities have produced a number of e-learning products, ranging from support-oriented platforms for online courses and learning to educational games. However, there is still a growing need for inclusive and accessible learning products. To meet the need, we developed an accessible online web and mobile platform for educati...
Conference Paper
In this paper we present the results of an evaluation of different visualization methods for angiogram volumetric data-ray casting, marching cubes, and multi-level partition of unity implicits. There are several options available with ray-casting: isosurface extraction, maximum intensity projection and alpha compositing, each producing fundamentall...
Article
Full-text available
We present an innovative dynamic visual interface, the Mood-Stripe, which provides a continuous-scale, multi-parameter drag-and-drop alternative to the standard n-degree (Likert) scale widgets, commonly used in online evaluation processes. We elaborate on the motivation for the development of the new user input interfaces, and present the results o...
Article
Full-text available
Several studies dealing with music recommendation and visualization base their approaches on datasets gathered with user surveys. However, the gathering procedure is seldom the focus of music research, even though the user interfaces and methodology are an important part of gathering the music data and evaluation of the music information retrieval...
Conference Paper
Full-text available
Povzetek. Prispevek predstavlja EtnoFletno, mobilno in spletno platformo slo-venskih ljudskih pesmi. Namen platforme je prebuditi zanimanje za ljudsko pe-sem in glasbo ter jo z uporabo naprednih tehnologij približati tudi mlajšim gene-racijam. Razvita je hitra, odzivna in funkcionalna aplikacija, dostopna na vseh večjih mobilnih platformah, kot tud...
Conference Paper
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In the world of music, a variety of digital symbolic music representations exist, from performance oriented (e.g. MIDI) to score oriented (e.g. MusicXML).
Conference Paper
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In our paper we present a mobile and web based platform for presentation of Slovenian folk songs. Our focus was to develop a fast, responsive and functional application available on all major mobile platforms, as well as through web browsers. The application is build on a three-tier architecture and it is developed in scalable way. It offers standa...
Article
The article presents research into the latent semantic structure of Slovenian folk songs using natural language processing (NLP) methods. The aim is to determine the appropriateness of NLP for discovering general patterns and relationships on the level of song types and genres, and to specify the basic procedure for the computational analysis of fo...
Conference Paper
Full-text available
This paper presents a biologically-inspired compositional hierarchical model for MIR. The model can be treated as a deep learning model, and poses an alternative to deep architectures based on neural networks. Its main features are generativeness and transparency that allow clear in-sight into concepts learned from the input music signals. The mode...
Article
The article addresses computational approaches to semantic analysis and extraction of meaningful structures from the contents. These methods are becoming more relevant and often necessary, especially in the analysis of large digital collections where manual classification of materials is not possible. Moreover, computational semantic analysis offer...
Article
Full-text available
The paper presents a new dataset that captures the effect of mood on visual and auditory perception of music. With an online survey, we have collected a dataset of over 6600 responses capturing users' mood, emotions evoked and expressed by music and the perception of color with regard to emotions and music. We describe the methodology of gathering...