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The subjective quality assessment (SQA) is an ever demanding approach due to its in-depth interactivity to the human cognition. The addition of no-reference based scheme could equip the SQA techniques to tackle further challenges. Existing widely used objective metrics-peak signal-to-noise ratio (PSNR), structural similarity index (SSIM) or the subjective estimator-mean opinion score (MOS) requires...
Natural disasters have destructive impacts on individuals and communities globally, particularly for most densely populated countries/regions. Governments must have intervention strategies in place to minimize the disruptive effects of a natural disaster, for instance: the vulnerability assessment. This type of assessment supplies government with a compulsory tool for pre-hazard baseline health surveillance,...
This article introduces a framework to compute decision making policies (mission planning) for a UAV-based delivery system serving impatient customers. Customers arrive on a finite number of locations L separated by arbitrary but fixed distances and eventually leave if not served. Policies seek to minimize the average net cost (maximize the average net revenue), i.e. loss from customers' abandonment...
Besides being one of the most popular forms of entertainment among younger generations, video games have been exploited in education for their potential to engage learners. However, a quantitative appraisal of the mechanisms behind their effectiveness is still in progress. This paper investigates the relation between psychological variables and behavior while playing on mobile devices like smartphones...
Through defining the influence factor adjusting the percentage of two parameters and the weight parameter adjusting the heterogenous degree of network, the proposed tunable edge weight model is in accordance with the weights of many real networks. Parameter values of tunable edge weight model are achieved when the ability against failure spreading of networks reaches the maximum through numerical...
In this paper, we present EMaaS, for Event Management as a Service, a multi-tenant cloud service to outsource the management of monitoring events in the cloud. Furthermore, we provide a secure multi-party computation (SMC) protocol for complex monitoring event processing. The protocol is integrated to EMaaS and uses some properties of encryption schemes. Finally, we evaluate the protocol security,...
The number of time-bins (TB) in retrospectively gated (4D-) PET/CT should be a trade-off between optimizing statistics and minimizing motion effect. The aim of this work was to investigate the impact of TB in heterogeneity quantification by PET texture features (TF) for lesions affected by respiratory motion. Five heterogeneous lesions were simulated by a mixture of radio-compound and alginate. Realistic...
Objective of the paper is to evaluate metrics of automatic evaluation of machine translation output using manual metrics — fluency and adequacy. We tried to answer the question to which extent the manual evaluation correlates with the automatic evaluation of MT output from/to Slovak to/from English. We focused on metrics based on the similarity and statistical principles (WER, PER, CDER and BLEU-n)...
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...
Virtualization technology has been widely adoptedin Cloud data centers for adaptive resource provisioning. Withvirtualization, multiple virtual machines (VMs) can be colocatedon a single physical host to yield maximum efficiency. However, VMs which show high CPU utilization correlationsto other co-located peers are more likely to trigger overloadingincidents. This work provides an analysis on effects...
This paper presents a novel methodology of objective image quality assessment (IQA) based on Fuzzy Logic (FL) method. The main purpose is to automatically assess the quality of image in agreement with human visual perception. The used attributes (quality metrics) and evaluation criteria (human rating mean opinion score MOS) are extracted from image quality database TID2013. The fuzzy model design...
A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance...
Study in UAV aerial image quality assessment algorithm. Aiming at the characteristics of lack of reference images, have large amount of data and degradation type is mainly about blurry, we put forward a rapid and effective no-reference aerial image quality assessment algorithm based on the natural scene statistics. This algorithm reduces the computational complexity of traditional algorithms based...
In terms of capturing software requirements, the most appropriate elicitation technique must be selected, but what does this mean? This paper makes a comparison between what researchers and software engineers see as adequate technique for capturing relevant information to meet software requirements. A systematic mapping of constructs which researchers define as good techniques is presented and compared...
Tone mapping operators (TMO) have recently raised interest for their capability to handle illumination changes. However, these TMOs are optimized with respect to perception rather than image analysis tasks like key point detection. Moreover, no work has been done to analyze the factors affecting the optimization of TMOs for such tasks. In this paper, we investigate the influence of two factors-Correlation...
Subjective experimental results are widely used as the ground truth in objective Image Quality Assessment (IQA). Specifically, Pairwise Comparison method has superiority over Mean Opinion Scores (MOS), but there is a problem when measuring the consistency between subjective pairwise comparisons and objective quality predictions. In this paper, we first analyze the existing problem of current evaluation...
This paper proposes a method that blindly predicts preference order between inpainted images, aiming at selecting the best one from a plurality of results. Image inpainting, which removes unwanted regions and restores them, has attracted recent attention. However, it is known that the inpainting result varies largely with the method used for inpainting and the parameters set. Thus, in a typical use...
Recently proliferation of 3D inference methods shows an important alternative to perceive in 3D of real world from single images. The quality evaluation of 3D estimated from inference methods has been demonstrated using dataset with 3D ground truth data. However in real scenarios, the 3D inference quality is complete unknown. In this work, we present a new quality assessment of 3D monocular inference...
Banding is a common video artifact caused by compressing low texture regions with coarse quantization. Relatively few previous attempts exist to address banding and none incorporate subjective testing for calibrating the measurement. In this paper, we propose a novel metric that incorporates both edge length and contrast across the edge to measure video banding. We further introduce both reference...
The morphological similarity of anatomical structures is essential to the study of the species evolution. In this paper, we investigate the unsupervised shape similarity analysis by a random-forest-based metric. The dense continuous deformation fields are employed as the shape descriptors. The forest is built when given the unlabeled deformation fields, where the leaves can be seen as an optimal clustering...
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