The proceedings contain 35 papers. The topics discussed include: data-driven approach for generating colormaps of scientific simulation data;a 3D-shockwave volume rendering algorithm based on feature boundary detectio...
ISBN:
(纸本)9789898704214
The proceedings contain 35 papers. The topics discussed include: data-driven approach for generating colormaps of scientific simulation data;a 3D-shockwave volume rendering algorithm based on feature boundary detection;using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities;laser spot detection and characteristic analysis in plasma interaction simulation;hybrid sort a pattern-focused matrix reordering approach based on classification;data interpolation based on contextual analysis for generating tomographic images in concrete specimen;graphical user interface personalization: user study of image frequency preferences;evaluation of color spaces for unsupervised and deep learning skin lesion segmentation;and repeated pattern extraction with knowledge-based attention and semantic embeddings.
The proceedings contain 16 papers. The special focus in this conference is on computer Vision, imaging and computergraphics Theory and Applications. The topics include: Towards Interactive Geovisualization Authoring ...
ISBN:
(纸本)9783031254765
The proceedings contain 16 papers. The special focus in this conference is on computer Vision, imaging and computergraphics Theory and Applications. The topics include: Towards Interactive Geovisualization Authoring Toolkit for Industry Use Cases;global-first Training Strategy with Convolutional Neural Networks to Improve Scale Invariance;spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps;BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis;enhancing Backlight and Spotlight Images by the Retinex-Inspired Bilateral Filter SuPeR-B;Rethinking RNN-Based Video Object Segmentation;facade Layout Completion with Long Short-Term Memory Networks;generating Haptic Sensations over Spherical Surface;effects of Emotion-Induction Words on Memory and Pupillary Reactions While Viewing Visual Stimuli with Audio Guide;a Bimanual Flick-Based Japanese Software Keyboard Using Direct Kanji Input;comparison of Cardiac Activity and Subjective Measures During Virtual Reality and Real Aircraft Flight;improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies;visualization of Source Code Similarity Using 2.5D Semantic Software Maps;revisiting Order-Preserving, Gap-Avoiding Rectangle Packing.
This special issue of the IEEE Transactions on visualization and computergraphics (TVCG) serves as the journal proceedings of the IEEE Pacific visualizationconference 2024, held on April 23–26, 2024, in Tokyo, Japa...
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This special issue of the IEEE Transactions on visualization and computergraphics (TVCG) serves as the journal proceedings of the IEEE Pacific visualizationconference 2024, held on April 23–26, 2024, in Tokyo, Japan. The General Chair was Issei Fujishiro from Keio University.
The proceedings contain 15 papers. The special focus in this conference is on computer Vision, imaging and computergraphics Theory and Applications. The topics include: MinMax-CAM: Increasing Precision of Explai...
ISBN:
(纸本)9783031457241
The proceedings contain 15 papers. The special focus in this conference is on computer Vision, imaging and computergraphics Theory and Applications. The topics include: MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage;DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers;Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset;transformers in Unsupervised Structure-from-Motion;a Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area;semi-automated Generation of Accurate Ground-Truth for 3D Object Detection;A Quantitative and Qualitative Analysis on a GAN-Based Face Mask Removal on Masked Images and Videos;dense Material Segmentation with Context-Aware Network;partial Alignment of Time Series for Action and Activity Prediction;Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition;ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data;influence of Errors on the Evaluation of Text Classification Systems;autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces.
The proceedings contain 76 papers. The topics discussed include: an empirical study on GUI-II interview methods in participatory design;the designer’s role in revitalized participatory design agendas;cuckoo – facili...
ISBN:
(纸本)9789898533913
The proceedings contain 76 papers. The topics discussed include: an empirical study on GUI-II interview methods in participatory design;the designer’s role in revitalized participatory design agendas;cuckoo – facilitating communication for people with mental and physical disabilities in residential communities;on the use of a continuous accessibility assessment process for dealing with website evolution;gesture-based smart car control system;MIAV: an inclusive method for accessibility assessment by visually impaired people;heuristic evaluation conducted by end users;multidimensional evaluation of user interfaces usability enriched with decision support systems analysis;a focus-plus-context visualization for strength exercise training;do comments on YouTube differ across genre?;multi-user screen sharing in multi-display groupware;a collage of change: utilizing appreciative inquiry in a user experience design study for big data interfaces – a reality;and relationship between temporary emotion of students and performance in learning through comparing facial expression analytics.
In data visualization, when dealing with unordered categorical data, we create a variety of diagrams using a color-coded paradigm that links colors to data classes. If the chosen color palette contains a number of col...
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ISBN:
(纸本)9783031667428;9783031667435
In data visualization, when dealing with unordered categorical data, we create a variety of diagrams using a color-coded paradigm that links colors to data classes. If the chosen color palette contains a number of colors equal to the number of categories, the space search is reduced to permutations. This study aims to propose an algorithm that selects the ideal color assignment from a user-provided color palette for each category in unordered categorical data visualization. We enhance the viewer's capacity to recognize geometric objects from different classes by applying a concept of contrast importance factors that expresses the necessity to get for a pair of object classes a strong color contrast to optimize legibility. The technique is based on a fitness function that separates on a first part, the need for color contrast using the diagram geometric data and, on the second part, the palette color distances. We show four categorical diagrams applications: streamgraphs, chord diagrams, polygonal maps and line-graphs. The article is an extension, showing applications to polygonal maps and line-charts, of a paper previously presented in Lisboa VISIGRAPP 2023 conference.
The proceedings contain 11 papers. The topics discussed include: tools for development of interactive web-based maps: application in healthcare;porting a visual inertial SLAM algorithm to android devices;open data vis...
ISBN:
(纸本)9788086943381
The proceedings contain 11 papers. The topics discussed include: tools for development of interactive web-based maps: application in healthcare;porting a visual inertial SLAM algorithm to android devices;open data visualization in Danish schools: a case study;prototyping a game engine architecture as a multi-agent system;real time pedestrian and object detection and tracking-based deep learning. application to drone visual tracking;title segmentation in Arabic document pages;improving facial attraction in videos;immersive analytics sensemaking on different platforms;and the role of polarization in the multiple reflections modeling.
This article introduces the DeepDream approach for object detection, which allows us to visualize how objects are represented in single stage object detector networks like YOLO. Such networks work by predicting object...
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ISBN:
(纸本)9783031667428;9783031667435
This article introduces the DeepDream approach for object detection, which allows us to visualize how objects are represented in single stage object detector networks like YOLO. Such networks work by predicting objects for thousands of fixed image positions in parallel which makes them even more opaque compared to classification CNNs. While there has been much work on feature visualization for classification, this study examines how visualization methods can deal with the multitude of possible object positions in detection tasks and investigates the necessary adaptions of the DeepDream method. Our experiments suggest that YOLO detects objects relative to the scene composition. YOLO does not only recognize single objects but it also has a clear representation of scene context, object sub-types, positions, and orientations. We visualize our findings with interactive, web-based demo applications, which are available on our webpage: https://***/yolo dreaming/. This research broadens the understanding of how objects are represented in object detection networks.
The proceedings contain 20 papers. The topics discussed include: cubic spline interpolation in real-time applications using three control points;creating digital models of paleontological sample by photogrammetry and ...
ISBN:
(纸本)9788086943374
The proceedings contain 20 papers. The topics discussed include: cubic spline interpolation in real-time applications using three control points;creating digital models of paleontological sample by photogrammetry and computed tomography;deep learning-based overlapping-pigs separation by balancing accuracy and execution time;deep learning-based overlapping-pigs separation by balancing accuracy and execution time;stylized sketch generation using convolutional networks;analyzing pixel spread correlation with lenticular lens efficiency on multi user vr displays;anatomy-focused volume line integral convolution for brain white matter visualization;corotated meshless implicit dynamics for deformable bodies;and performance evaluation and comparison of service-based image processing based on software rendering.
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