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View article: Viewpoint Selection for 3D-Games with f-Divergences
Viewpoint Selection for 3D-Games with f-Divergences Open
In this paper, we present a novel approach for the optimal camera selection in video games. The new approach explores the use of information theoretic metrics f-divergences, to measure the correlation between the objects as viewed in camer…
View article: Non-photorealistic rendering as a feedback strategy in virtual reality for rehabilitation
Non-photorealistic rendering as a feedback strategy in virtual reality for rehabilitation Open
Virtual reality (VR) rehabilitation has been proven to be a very promising method to increase the focus and attention of patients by immersing them in a virtual world, and through that, improve the effectiveness of the rehabilitation. One …
View article: A linear heuristic for multiple importance sampling
A linear heuristic for multiple importance sampling Open
Multiple importance sampling combines the probability density functions of several sampling techniques into an importance function. The combination weights are the proportion of samples used for the particular techniques. This paper addres…
View article: A Linear Heuristic for Multiple Importance Sampling
A Linear Heuristic for Multiple Importance Sampling Open
Multiple Importance Sampling (MIS) combines the probability density functions (pdf) of several sampling techniques into an importance function. The combination weights are the proportion of samples used for the particular techniques. This …
View article: Robust Multiple Importance Sampling with Tsallis φ-Divergences
Robust Multiple Importance Sampling with Tsallis φ-Divergences Open
Multiple Importance Sampling (MIS) combines the probability density functions (pdf) of several sampling techniques. The combination weights depend on the proportion of samples used for the particular techniques. Weights can be found by opt…
View article: A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation
A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation Open
Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss due to a variety of many-to-one mappings. At a glance, there seem to be numerous opportunities for viewers to misin…
View article: A Bounded Measure for Estimating the Benefit of Visualization (Part I): Theoretical Discourse and Conceptual Evaluation
A Bounded Measure for Estimating the Benefit of Visualization (Part I): Theoretical Discourse and Conceptual Evaluation Open
Information theory can be used to analyze the cost–benefit of visualization processes. However, the current measure of benefit contains an unbounded term that is neither easy to estimate nor intuitive to interpret. In this work, we propose…
View article: Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling
Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling Open
In this paper, we propose a novel and generic family of multiple importance sampling estimators. We first revisit the celebrated balance heuristic estimator, a widely used Monte Carlo technique for the approximation of intractable integral…
View article: Stochastic Order and Generalized Weighted Mean Invariance
Stochastic Order and Generalized Weighted Mean Invariance Open
In this paper, we present order invariance theoretical results for weighted quasi-arithmetic means of a monotonic series of numbers. The quasi-arithmetic mean, or Kolmogorov–Nagumo mean, generalizes the classical mean and appears in many d…
View article: A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation
A Bounded Measure for Estimating the Benefit of Visualization: Theoretical Discourse and Conceptual Evaluation Open
Information theory can be used to analyze the cost-benefit of visualization processes. However, the current measure of benefit contains an unbounded term that is neither easy to estimate nor intuitive to interpret. In this work, we propose…
View article: A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation
A Bounded Measure for Estimating the Benefit of Visualization: Case Studies and Empirical Evaluation Open
Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss. At a glance, there seem to be numerous opportunities for viewers to misinterpret the data being visualized, hence …
View article: Is the Chen-Sbert Divergence a Metric?
Is the Chen-Sbert Divergence a Metric? Open
Recently, Chen and Sbert proposed a general divergence measure. This report presents some interim findings about the question whether the divergence measure is a metric or not. It has been postulated that (i) the measure might be a metric …
View article: Histogram Ordering
Histogram Ordering Open
Frequency histograms are ubiquitous, being practically used in any field of science. In this paper, we present a partial order for frequency histograms and, to our knowledge, no order of this kind has been yet defined. This order is based …
View article: Interpreting Social Accounting Matrix (SAM) as an Information Channel
Interpreting Social Accounting Matrix (SAM) as an Information Channel Open
Information theory, and the concept of information channel, allows us to calculate the mutual information between the source (input) and the receiver (output), both represented by probability distributions over their possible states. In th…
View article: Gaze Information Channel in Van Gogh’s Paintings
Gaze Information Channel in Van Gogh’s Paintings Open
This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channe…
View article: A Bounded Measure for Estimating the Benefit of Visualization
A Bounded Measure for Estimating the Benefit of Visualization Open
Information theory can be used to analyze the cost-benefit of visualization processes. However, the current measure of benefit contains an unbounded term that is neither easy to estimate nor intuitive to interpret. In this work, we propose…
View article: From NPR to VR: tracking ocular behavior in immersive virtual reality
From NPR to VR: tracking ocular behavior in immersive virtual reality Open
In this work, we present a research about ocular behavior during immersion in virtual reality. To enhance our comprehension of human behavior in immersive conditions, we will focus on vision and its reactivity to non-photorealistic renderi…
View article: On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy
On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy Open
This archiving article consists of several short reports on the discussions between the two authors over the past two years at Oxford and Madrid, and their work carried out during that period on the upper bound of the Kullback-Leibler dive…
View article: Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement
Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement Open
This article introduces a novel solution to improve image enhancement in terms of color appearance. Our approach, called Color Channel Compensation (3C), overcomes artifacts resulting from the severely non-uniform color spectrum distributi…
View article: Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images
Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images Open
Single image dehazing is an ill-posed problem that has recently drawn important attention. Despite the significant increase in interest shown for dehazing over the past few years, the validation of the dehazing methods remains largely unsa…
View article: Gaze Information Channel in Cognitive Comprehension of Poster Reading
Gaze Information Channel in Cognitive Comprehension of Poster Reading Open
Today, eye trackers are extensively used in studying human cognition. However, it is hard to analyze and interpret eye movement data from the cognitive comprehension perspective of poster reading. To find quantitative links between eye mov…
View article: Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling
Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling Open
In this paper, we propose a novel and generic family of multiple importance sampling estimators. We first revisit the celebrated balance heuristic estimator, a widely used Monte Carlo technique for the approximation of intractable integral…
View article: Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval
Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval Open
Riding the wave of visual sensor equipment (e.g., personal smartphones, home security cameras, vehicle cameras, and camcorders), image retrieval (IR) technology has received increasing attention due to its potential applications in e-comme…
View article: Optimal Deterministic Mixture Sampling
Optimal Deterministic Mixture Sampling Open
Multiple Importance Sampling (MIS) can combine several sampling techniques preserving their advantages. For example, we can consider different Monte Carlo rendering methods generating light path samples proportionally only to certain facto…
View article: Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence
Some Order Preserving Inequalities for Cross Entropy and Kullback–Leibler Divergence Open
Cross entropy and Kullback–Leibler (K-L) divergence are fundamental quantities of information theory, and they are widely used in many fields. Since cross entropy is the negated logarithm of likelihood, minimizing cross entropy is equivale…
View article: A Survey of Viewpoint Selection Methods for Polygonal Models
A Survey of Viewpoint Selection Methods for Polygonal Models Open
Viewpoint selection has been an emerging area in computer graphics for some years, and it is now getting maturity with applications in fields such as scene navigation, scientific visualization, object recognition, mesh simplification, and …
View article: IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering
IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering Open
Analyzing trajectory data plays an important role in practical applications, and clustering is one of the most widely used techniques for this task. The clustering approach based on information bottleneck (IB) principle has shown its effec…
View article: Multiple importance sampling revisited: breaking the bounds
Multiple importance sampling revisited: breaking the bounds Open
We revisit the multiple importance sampling (MIS) estimator and investigate the bound on the efficiency improvement over balance heuristic estimator with equal count of samples established in Veach’s thesis. We revise the proof for this an…
View article: Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes
Learning Analytics Through Serious Games: Data Mining Algorithms for Performance Measurement and Improvement Purposes Open
learning analytics is an emerging discipline focused on the measurement, collection, analysis and reporting of learner interaction data through the E-learning contents. Serious game provides a potential source for relevant educational user…
View article: Decolorization by Fusion
Decolorization by Fusion Open
Decolorization aims at converting color images into grayscale images while preserving their original contrast and color discriminability. In this paper, we introduce an original fusion-based decolorization approach. Our algorithm employs a…