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Research into computational jigsaw puzzle solving, an emerging theoretical problem with numerous applications, has focused in recent years on puzzles that constitute square pieces only. In this paper we wish to extend the scientific scope of appearance-based puzzle solving and consider ’’brick wall” jigsaw puzzles – rectangular pieces who may have different sizes, and could be placed next to each...
We propose a principled approach for the learning of causal conditions from actions and activities taking place in the physical environment through visual input. Causal conditions are the preconditions that must exist before a certain effect can ensue. We propose to consider diachronic and synchronic causal conditions separately for the learning of causal knowledge. Diachronic condition captures the...
This paper presents an experimental study on the legibility of Chinese characters printed on one-way vision film. In the study, Chinese characters of different font sizes were viewed from different distances by research subjects with normal eyesight in order to measure the lowest legibility value. The data generated as such failed to pass homogeneity of variance test. As homogeneity of variance is...
In this paper, we address the problem of visual tracking by proposing a novel feature learning technique. Recently, correlation filter based methods have dominated the visual tracking community due to various reasons such as efficient dense matching in frequency domain and simple update strategy. Nevertheless, the studies of correlation filters utilize handcrafted or pre-trained deep features of classification...
Hashing methods have proven to be useful for a variety of tasks and have attracted extensive attention in recent years. Various hashing approaches have been proposed to capture similarities between textual, visual, and cross-media information. However, most of the existing works use a bag-of-words methods to represent textual information. Since words with different forms may have similar meaning,...
Visual Cryptography is a technique, which is used to conceal the secret image into transparencies and these transparencies are distributed to the intended recipients. They demonstrated a visual secret sharing scheme, where an image was broken up into n shares so that only someone with all n shares could decrypt the image, while any n−1 shares revealed no information about the original image. In this...
The correlation between visual perception and the evoked emotional response has been investigated extensively in the area of cognitive psychology using the method of electroencephalography (EEG). Activities in the visual cortex have been found to be correlated with psychophysical performance, visual attention, and subjective perceptual experience. While electroencephalography could record the cerebral...
Recent advances in signal processing for the detection of Steady-State Visual Evoked Potentials (SSVEPs) have moved away from traditionally calibrationless methods, such as canonical correlation analysis, and towards algorithms that require substantial training data. In general, this has improved detection rates, but SSVEP-based brain-computer interfaces (BCIs) now suffer from the requirement of costly...
This paper demonstrates a high performance brain-computer interface (BCI) that allows users to dial phone numbers. The system is based on Canonical Correlation Analysis (CCA) and the automatic artifacts removal system based on BSS-CCA method and Steady-State Visual Evoked Potential (SSVEP). Through six frequency bands (9Hz, 10Hz, 11Hz, 12Hz, 13 Hz, 14Hz) displayed on the screen, subjects can choose...
We investigated a correlation between electroencephalography (EEG) power and user satisfaction about haptic sensation. EEG power in alpha, delta, and high beta band showed a significant correlation with haptic satisfaction, especially in the early period. Our results show the feasibility of a novel metric for UI design of consumer electronics.
A first step towards creating automatic measures of image aesthetic appeal is understanding its appreciation via subjective testing. Nevertheless, reliably setting up such tests appears to be challenging, as aesthetic appeal is proven to be influenced by a number of subjective factors. In this paper we investigate four scale types for aesthetic appeal rating and assess their ability to provide general...
This study investigates the metrics for spatial audio quality of experience (QoE) prediction, particularly considering the existence of video whose viewpoint may not match that of the auditory scene. Subjective tests were conducted for 5.1-channel audio quality evaluation following a previously developed testing and prediction methodology, with the addition of accompanying video cues and with the...
It is well known that using the correct features for pattern recognition is far more important than using a sophisticated classifier. A high order classifier, given inadequate features, will produce poor results. Low-level formed are combined to form mid-level features, which have much more discriminating power. Yet, the challenge of feature selection is often neglected in the literature. The literature...
The image memorability consists in the faculty of an image to be recalled after a period of time. Recently, the memorability of an image database was measured and some factors responsible for this memorability were highlighted. In this paper, we investigate the role of visual attention in image memorability around two axis. The first one is experimental and uses results of eye-tracking performed on...
This article describes a study, lasted three academic years, aiming to detect modifications of learning styles (LS) over the time. LS measurements have been performed according to the Felder-Silverman's learning styles model (FSLSM) and measuring tool (ILS questionnaire). Experimental results show that individual LS measured after one or two year/s, are subjected to high variability. On the contrary,...
The bag-of-visual-words (BoW) representation has received wide application and public acceptance for visual categorization. However, the histogram based image representation ignores the spatial information and correlations among visual words. To tackle these problems, in this paper, we propose to use some image regions called ‘components’, as the higher-level visual elements to represent an image...
In this paper, we address invariant scene classification from images. We propose a novel descriptor based on the statistical characterization of the spatial patterns formed by elementary objects in images. Elementary objects are defined from a tree of shapes of the topology map of the image and each object is characterized by shape context feature vector. Viewing the set of elementary objects as a...
The Signals and Systems Concept Inventory is an extremely useful assessment tool that has been widely used and analyzed. The authors have applied it in a variety of situations outside its typical usage. These situations include comparing international students to US students, introducing concept inventories to international faculty, supporting an ABET evaluation report, evaluating the effect of electives...
In 3D computer graphics, it has been an important issue to describe a virtual object realistically and show it in a physically correct manner. Unlike the virtual reality(VR), the augmented reality (AR) is an environment containing virtual and real objects simultaneously. However, the difference in motion between the virtual and real objects is obvious, which makes it hard for AR to be realistic and...
In this paper, a new feature extraction technique for texture classification is proposed. Features are energy and standard deviation of spectral correlation function (SCF) of signals got from image at different regions of bifrequency plane. This scheme shows high performance in the classification of Brodatz texture images. Experimental results indicate that the proposed method improves correct classification...
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