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A novel method for improving the perceptual learning effect in virtual reality interaction
The development of intellectualization trend in online education has been characterized by constructing a multi-terminal immersive learning...
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Blindly Evaluate the Quality of Underwater Images via Multi-perceptual Properties
The quality of underwater images can vary greatly due to the complexity of the underwater environment as well as the limitations of imaging devices.... -
Assessing the perceptual equivalence of a firefighting training exercise across virtual and real environments
The advantages of Virtual Reality (VR) over traditional training, together with the development of VR technology, have contributed to an increase in...
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Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study
Decisions are driven both by sensory evidence that provides objective information as well as the anticipated outcomes and their corresponding... -
Evaluating the Perceptual Properties of Crosscutting Concerns Occurrence Points Specifications in Embedded Software
Crosscutting concerns associated with the non-functional requirements and system constraints contribute to the growing complexity of embedded... -
PU-SSIM: A Perceptual Constraint for Point Cloud Up-Sampling
Point cloud data acquired through scanning typically exhibits sparse, non-uniform distribution, and a certain level of noise. Therefore, it is... -
Assessing Lighting Experience Using Physiological Measures: A Review
The lighting environment is essential to human health, productivity, and efficiency. Lighting experience can be defined as the user’s psychological... -
Improving precision of objective image/video quality meters
Although subjective test is the most accurate image/video quality assessment tool, it is extremely time demanding. In the past two decades, a variety...
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Gestalt Laws and Perceptual Organization
The word Gestalt, as used in Gestalt Psychology, is often understood as “pattern.” The school of Gestaltism, which emerged in Austria and Germany in... -
PIQI: perceptual image quality index based on ensemble of Gaussian process regression
Digital images contain a lot of redundancies, therefore, compression techniques are applied to reduce the image size without loss of reasonable image...
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On the Robustness of Quality Measures for GANs
This work evaluates the robustness of quality measures of generative models such as Inception Score (IS) and Fréchet Inception Distance (FID).... -
Application of Perceptual Video Hashing for Near-duplicate Video Retrieval
Because of the rapid growth in the VLSI technology, the speed of the Internet and the easy availability of editing software, the number of... -
FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN
Remote sensing satellites can simultaneously capture high spatial resolution panchromatic (PAN) images and low spatial resolution multispectral (MS)...
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Evaluation is key: a survey on evaluation measures for synthetic time series
Synthetic data generation describes the process of learning the underlying distribution of a given real dataset in a model, which is, in turn,...
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Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing to the existence of quality degradations introduced in...
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Perceptual metric learning for video anomaly detection
This work introduces a new approach to localize anomalies in surveillance video. The main novelty is the idea of using a Siamese convolutional neural...
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An encrypted speech authentication and tampering recovery method based on perceptual hashing
With the progress of speech retrieval technology in the cloud, it brings a lot of conveniences for speech user. Yet, the inquiry encrypted speech...
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A Contrastive Objective for Learning Disentangled Representations
Learning representations of images that are invariant to sensitive or unwanted attributes is important for many tasks including bias removal and... -
Non-local Network Routing for Perceptual Image Super-Resolution
In this paper, we propose a non-local network routing (NNR) approach for perceptual image super-resolution. Unlike conventional methods which... -
Objective quality assessment of retargeted images based on RBF neural network with structural distortion and content change
Objective quality assessment of retargeted images aims to find the best retargeting method for showing an image on different display terminals. This...