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In computational visual attention systems, various feature maps are constructed and integrated to yield the final fixation map. These maps highlight interesting regions within an image that are deemed salient according to some task. According to Ehinger et al. [1], by combining three types of feature maps, the performance is boosted in terms of predicting where human fixate when searching for pedestrians...
Surveillance imagery acquired at long distances is frequently degraded by atmospheric turbulence, causing it to be blurry and distorted. We introduce an interactive method for atmospheric turbulence mitigation of video sequences. Our method allows the user to input crucial information about the imaging conditions, hence bypassing many of the complexities involved in other approaches. Experiments on...
Typosquatting becomes a speculative and serious phenomenon for both Internet users and brand owners of popular websites. Typosquatters register similar domain names of popular websites to profit from displaying advertisements, redirecting traffic to third-party pages, deploying phishing sites, or serving malware. Thus, much work have been done on measuring typosquatting in distribution, monetization...
We describe a matrix-based visualization technique for algorithmically and visually comparing metrics in eye movement data. To reach this goal, a set of scanpath trajectories is first preprocessed andtransformedintoasetofmetricsdescribingcommonalitiesand differences of eye movement trajectories. To keep the generated diagrams simple, understandable, and free of visual clutter we visuallyencodethegenerateddatasetintothecellsofamatrix...
Eye tracking metrics may provide unobtrusive measures of cognitive states such as workload and fatigue and can serve as useful inputs into future human computer interface technologies. To further explore the usefulness of eye tracking for the estimation of cognitive state, the current experiment evaluated saccade, fixation, and pupil-based measures to identify which metrics reliably indexed cognitive...
In this paper, we propose a scene clustering algorithm which uses straight line features. Scenes are represented as nodes in the graph, and each connectivity between nodes is calculated by a pre-trained vocabulary tree. By applying a spectral clustering algorithm to the constructed graph, the scenes are partitioned into k groups where k is determined by the proposed estimation method. Instead of using...
Vision-based, route-following algorithms enable autonomous robots to repeat manually taught paths over long distances using inexpensive vision sensors. However, these methods struggle with long-term, outdoor operation due to the challenges of environmental appearance change caused by lighting, weather, and seasons. While techniques exist to address appearance change by using multiple experiences over...
Spatial visualization (SV) skills are both learnable and linked to student success in engineering. Our work was motivated by previous research revealing a gender gap in SV skills that favors male engineering students. A multi-modal SV workshop intervention was incorporated into a first-year engineering projects course with the goal of fostering SV skills for all students. An analysis of SV skills,...
Region of interest ROI image and video compression techniques have been widely used in visual communication applications in an effort to deliver good quality images and videos at limited bandwidths. Foveated imaging exploits the fact that the spatial resolution of the human visual system (HVS) is highest around the point of fixation (foveation point) and decreases dramatically with increasing eccentricity...
Monitoring of infrastructural resources against a huge number of virtual machines in clouds is a challenging task to system administrators. System management tools are used to collect and provide the utilization of a variety of performance counters of each virtual machine. Such dispersed views cannot reveal the actual performance behavior of virtual machines. To this purpose, a monitoring framework...
With the recent success of visual features from deep convolutional neural networks (DCNN) in visual robot self-localization, it has become important and practical to address more general self-localization scenarios. In this paper, we address the scenario of self-localization from images with small overlap. We explicitly introduce a localization difficulty index as a decreasing function of view overlap...
Best practices provide convenient, but general, guidelines for authoring web content; however, as general guidelines, they cannot possibly provide the best advice for every context. Testing is required to know if their application works in a specific context. However, testing web content is challenging, especially content that does not support the funnel-shaped interactions typically found in commerce-oriented...
Scientific problems, related to the interaction between IT-services suppliers and consumers in the cloud environments, has been described. The analysis of quality metrics, used for IT-services estimation, has been carried out taking into account the specificity of the cloud infrastructure that focuses on large-scale scientific problems solving. The technique, used for the visual express quality estimation...
In the service oriented, customer experience centric and customer changing demand driven market environment, ICT is becoming the leading enabler and partner of the modern enterprise business. More and more companies are transformed into more or pure digital style and virtual organized enterprises that are enabled and supported by a group of business oriented and microservice based applications and...
salient regions detection is a very popular topic in pattern recognition. A novel method was presented to detect salient regions using color volume and edge in the manner of simulating visual attention mechanism. In order to detect salient regions, we have combined color volume and edge cues together and used them as the primary visual features. Color and edge are important cues that attract human's...
Exploring multi-dimensional datasets can be cumbersome if data analysts have little knowledge about the data. Various dimension relation inspection tools and dimension exploration tools have been proposed for efficient data examining and understanding. However, the needed workload varies largely with respect to data complexity and user expertise, which can only be reduced with rich background knowledge...
Quantitative description and complexity understanding of software architecture are difficult questions of software development. Taking The complexity evolution of VTK software version as an example, this paper proposes a model for predicting the complexity of software evolution based on logistic equation and quantitative validation of Lehman's law. Its basic idea is that the software architecture...
An objective blur measure is crucial for a variety of image processing applications. Traditional researches concentrate on a model estimating the amount of spatial high frequency. However, human vision detects blurriness might be influenced by the texture of image contents. To address the important issue, this paper presents a new objective metric designed as both measuring the inherent smooth texture...
This paper describes a method of image sharpness evaluation while taking into account the photographer's aesthetic intention. The main idea is utilizing a visual importance map that estimates the weight of each pixel to guild evaluating image sharpness. The visual importance map is computed automatically with a saliency detection algorithm based on global color contrast. Our technique allows to treat...
Gamma correction is an efficient tool typically used to adjust the contrast and brightness of digital images. Recently, an adaptive gamma correction method is proposed by relating gamma parameter with the cumulative distribution function (CDF) of gray level histograms. It gains satisfied contrast enhancement (CE) effects on dimmed images, but is invalid on bright regions which are universal in real...
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