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Currently, the understanding of the human mobility is an important challenge that has a large number of applications, especially in the study of a nation's ability to thrive economically and socially. Some works have shown that, it is possible to observe developed and developing countries reviewing their administrative regions borders, in order to reduce costs, or to solve ethnic claims and/or independence...
The human visual system employs a mechanism of visual attention, which selects only part of the incoming information for further processing. Through this mechanism, the brain avoids overloading its limited cognitive capacities. In computer vision, this task is usually accomplished through saliency detection, which outputs the regions of an image that are distinctive with respect to its surroundings...
This paper presents superpixel-based background removal methods to increase accuracy of global salience person re-identication method. The current algorithm has two problems which limit its accuracy including (1) wrong matching when images of different people have the same background and/or (2) salience on the background of different images of different people is similar. Theoretical maximum accuracy...
Today, computer-based training is developing rapidly. The visual education is also quite commonly used in higher education as well as in primary and secondary education. The tablets, smart boards and computers constitute the basis of visual education. Visual education has many advantages, such as learning faster, memorability and in terms of paper expenses. The visual animations and presentations...
Dynamic occlusion handling is critical for correct depth perception in Augmented Reality (AR) applications. Consequently it is a key component to ensure realistic and immersive AR experiences. Existing solutions to tackle this challenge typically suffer from various limitations, e.g. assumption of a static scene or high computational complexity. In this work, we propose an algorithm for depth map...
In shape learning for a digital image, it is a common that one would encountered two major problems, which are noise and missing edges. The existing research approaches aim to reduce noise, while at the same time to recover the missing edges. However, noise reductions using contour detector or smoothening techniques could indirectly distort the salient boundary. Most of the research works only focus...
Image emotion analysis is a new and challenging research direction that gains more and more attention in the research community. Most previous works in this field only use common or generic features, and have hard restrictions on training images, such as scale, resolution, etc. Inspired by scale-space theories and psychology theories of color, we propose a procedure to extract interpretive features...
This paper introduces a novel example-based inpainting algorithm. It is different from traditional methods in two ways. First, it emphasizes the continuity of edges in filling processing because human vision system is sensitive to broken edges. Edge continuity is promised by a new measurement of similarity between texture patches, which gives different weights to different points based on their gradient...
In this paper, a new method of edge detection in gray scale images based on comparing a pixel's value to its eight neighbors' values is presented. Each pixel gets a new value based on such comparison. Similar pixels or smooth surfaces are then those which have a zero value resulting from the sum of all values and the edges are the set of pixels whose values are different from zero. This decision of...
Laser scanners have been proven to provide reliable and highly precise environment perception for micro aerial vehicles (MAV). This oftentimes makes them the first choice for tasks like obstacle avoidance, close inspection of structures, self-localization, and mapping. However, artificial environments may pose problems if the scene is self-similar or symmetric and, hence, localization becomes ambiguous...
Coronary Cine-angiogram (CCA) is one of the widely used preliminary invasive medical image modalities in Interventional Cardiology for the detection of luminal obstructions in Coronary Artery (CA) vasculature. It is apparent that the clinical judgments based on angiography are subjective and lead to overestimation and underestimation of the detected stenosis. Hence, such imprecise diagnosis can have...
In this paper, we propose a graph-based image retrieval algorithm via query and database specific feature fusion. While existing feature fusion approaches exist for image retrieval, they typically do not consider the image database of interest (i.e., to be retrieved) for observing the associated feature contributions. In the offline learning stage, our proposed method first identifies representative...
We consider the problem of how to simultaneously and well correct the over- and under-exposure regions in a single low dynamic range (LDR) image. Recent methods typically focus on global visual quality but cannot well-correct much potential details in extremely wrong exposure areas, and some are also time consuming. In this paper, we propose a fast and detail-enhanced correction method based on automatic...
This paper proposes a blur detection algorithm that is capable of detecting and quantifying the level of spatially-varying blur by integrating directional edge spread calculation, Just Noticeable Blur (JNB) and local probability summation. The proposed method generates a blur map indicating the relative amount of perceived local blurriness. We compare the proposed method with six other state-of-the-art...
Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation...
If a low dynamic range (LDR) image or video is inverse tone mapped to a higher dynamic range, there can be banding artifacts in the output high dynamic range (HDR) image or video. We design a selective sparse filter to remove the banding artifacts and at the same time preserve edges and details. The filter is able to reduce other artifacts, such as blocky artifacts which are due to the compression...
Since ultra-high-definition (UHD) display has larger resolution and various display size, it is necessary to measure image sharpness considering variation in visual resolution caused by diverse viewing geometry. In this paper, we propose a no-reference perceptual sharpness assessment model of UHD images. The proposed model analyzes viewing geometry in terms of display resolution and viewing environment...
This paper presents a fast algorithm for deriving the defocus map from a single image. Existing methods of defocus map estimation often include a pixel-level propagation step to spread the measured sparse defocus cues over the whole image. Since the pixel-level propagation step is time-consuming, we develop an effective method to obtain the whole-image defocus blur using oversegmentation and transductive...
This paper presents a novel method of salience and priority estimation for the human visual system during locomotion. This visual information contains dynamic content derived from a moving viewpoint. The priority map, ranking key areas on the image, is created from probabilities of gaze fixations, merged from bottom-up features and top-down control on the locomotion. Two deep convolutional neural...
The images of distant view and close-up view indicate a photographers' attention which can be further utilized for user behavior analysis and scene evaluation. As images may compose arbitrary contexts, distant view and close-up view classification becomes non-trivial. In this work, we found two cues can represent human visual attention, i.e. focus cue and scale cue. We model the focus cue in frequency...
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