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The purpose of research on image quality assessment (IQA) is to find proper methods to measure the quality of images. The subjective evaluation score by HVS is usually used as a standard to be compared with. So, the more similar the measuring process is to HVS, the better the result should be. Motivated by this idea, contourlet transform and singular value decomposition are used in this article to...
Magnitude-only resting-state fMRI data have been largely investigated via independent component analysis (ICA) for exacting spatial maps (SMs) and time courses. However, the native complex-valued fMRI data have rarely been studied. Motivated by the significant improvements achieved by ICA of complex-valued task fMRI data than magnitude-only task fMRI data, we present an efficient method for de-noising...
Error concealment (EC) is one of the target applications of inpainting techniques. Some methods combine the estimated lost motion vectors (MVs) with the exemplar-based inpainting technique to recover the lost regions. Due to the erroneous motion vectors that might indicate a moving object as background object and vice versa, these methods are still showing visual artifacts in the recovered regions...
A variety of methods have been proposed for object level saliency detection, which is useful for many content-based computer vision applications. Unlike most previous work that integrate multiple low level cues to compute the saliency map, this paper presents a novel hierarchical optimization model. First, we compute a rough saliency map using HS method, and then, boundary and foreground seeds are...
A quality metric of the image is the major interesting area in the digital image processing system. The metric or assessment can be done individually or accurately on the image. It is vital for a digital imaging system to be able to guess the quality of the image and predict the minimum and maximum value of the metric used to evaluate the image quality. So that it can be preserved, control and possibly...
Immersive, head-mounted virtual reality (HMD-VR) can be a potentially useful tool for motor rehabilitation. However, it is unclear whether the motor skills learned in HMD-VR transfer to the non-virtual world and vice-versa. Here we used a well-established test of skilled motor learning, the Sequential Visual Isometric Pinch Task (SVIPT), to train individuals in either an HMD-VR or conventional training...
GA airport bird-scaring equipment effectiveness assessment is an important part in the process of dealing with bird hazard. This paper establishes the scientific and systematic evaluation index system and designs the assessment model by means of fuzzy mathematics method. Verification by a domestic GA airport showed that the result of risk assessment from this model and the system were basically consistent...
This paper consists of a comparative analysis of full reference image quality measures. The quality evaluation model of Peak signal to noise ratio (PSNR), Structural Similarity Index (SSIM) as well as Visual Information Fidelity (VIF) has been discussed. This paper emphasizes on the quality evaluation of images after their recovery from their noisy counterparts. The image quality assessment algorithms...
Index-based image retrieval improves results of a web image search in the customized real-time image search engines. Index-based Image ranking is an efficient method to improve image search results wherein, a user presents a query in customized search engine to retrieve a large number of images from the image pool on the basis of textual information. Traditionally, Index-based hash code image retrieval...
Recent research indicates that the well known scale invariance property of natural images may originate from the existence of the critical image layer exhibiting phase transition from disordered to ordered states as the intensity scale increases. In this paper we examine the impact of phase transition on perceptual quality assessment of images and confirm that using only the ordered or structured...
Trajectory segmentation is the process of subdividing a trajectory into parts either by grouping points similar with respect to some measure of interest, or by minimizing a global objective function. Here we present a novel online algorithm for segmentation and summary, based on point density along the trajectory, and based on the nature of the naturally occurring structure of intermittent bouts of...
Many people search for and watch videos on videosharing Web sites, where users input a query and rank videos onthe basis of metrics such as view count and rating. However, it isnot always easy to find the desired video with a conventionalsearch. One approach that enables users to more intuitivelysearch for videos they desire is to index them according toemotions. Previous studies have used several...
Big Data is growing remarkably with technological development. In the field of business, there is growing trend which try to find useful information to marketing activities from the enormous data. However, data analysis needs knowledge about data structures and programming skills. It is difficult for general employees to acquire these. In this study, we propose a system which visualizes the relation...
This paper addresses the image retrieval problem of finding images in a large dataset that contain similar scenes or objects to a given query image. Often, this task is performed with the popular Bag-of-Words (BoW)-Model which quantizes local features such as SIFT for speeding up the retrieval by using an inverted file indexing scheme. We focus on the limits of the model for very large-scale datasets...
This paper proposes a saliency detection approach using multi-mapping based on global-local structural information. Firstly, a global-background-suppression(GBS) image and a Lab color space hybrid(CSH) image are obtained through different mapping rules. Secondly, both of them are segmented several times to produce multiple shape images. Thirdly, the above shape images are multiplied with GBS image...
Plant architecture is an important agronomic trait, and improving plant architecture has attracted the attentions of scientists for decades, particularly studies to create desirable plant architecture of high grain yield through breed and culture practice. However, many important structural phenotypic traits still lack quantitative description and modeling on structural-functional relativity. This...
Reddish cosmetics products (e.g. skin-tone powders or red lipsticks) are important for the LED lighting of beauty shops and TV or film productions. In our visual experiment, subjects had to assess their color preference, naturalness, and vividness impression of such cosmetics products viewed with seven different multi-LED spectra of a six-channel LED illuminating system at 3200 K and 500 l×. It was...
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...
This paper describes the use of the Levenshtein distance and nearest neighbour index to visualise and analyse differences in eye-tracking scanpaths applied to the field of electrocardiology. Data was obtained from clinicians as they interpreted 12-lead electrocardiograms (ECGs). The main aim of the work is provide methods of visualising the differences between multiple participants scanpaths simultaneously...
The Symbolic Execution Debugger (SED) is an extension of the Eclipse debug platform for interactive symbolic execution. Like a traditional debugger, the SED can be used to locate the origin of a defect and to increase program understanding. However, as it is based on symbolic execution, all execution paths are explored simultaneously. We demonstrate an extension of the SED called Interactive Verification...
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