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Exemplar-based methods have shown their potential in synthesizing novel but visually plausible contents for image super-resolution (SR), by using the implicit knowledge conveyed by the exemplar database. In practice, however, it is common that unwanted artifacts and low quality results are produced due to the using of inappropriate exemplars. How are the “right” exemplars defined and identified? This...
A number of image quality assessment (IQA) metrics have been designed in recent years for natural images, leading to a desire to develop IQA approaches for screen content image which is composed of textual as well as pictorial regions and exhibits different visual characteristics from the natural image. In this work, a no reference IQA metric based on convolutional neural network (CNN) is proposed...
Perceptual learning sculpts ongoing brain activity [1]. This finding has been observed by statistically comparing the functional connectivity (FC) patterns computed from resting-state functional MRI (rs-fMRI) data recorded before and after intensive training to a visual attention task. Hence, functional connectivity serves a dynamic role in brain function, supporting the consolidation of previous...
As software structures grow, it becomes increasingly difficult for those new to any software source code to conceptualize the mostly invisible structure. Historically program structures have been challenging to visualize. This paper contributes a 3D flythrough approach called FlyThruCode for visualizing facets of program structure. A prototype demonstrates its viability, and an empirical study investigates...
A thin metamaterial absorber is used as a sensor array to measure the 2-d power and phase distributions of radio waves incident on the surface of the absorber. Lumped resistors inserted between the surface patches on a mushroom-type metasurface are used to absorb the incident wave at the resonance frequency. As the voltage induced on each resistor is proportional to the electric field component along...
Recently, a mountain of work has been done to evaluate the visual discomfort caused by binocular disparity. In this paper, a subjective experiment was conducted to explore the relationship between fusion time and disparity, stimulus width firstly. Then the fusion time function was built. Finally, another subjective experiment was created to investigate the correlation between fusion time and visual...
Rapid development of up-to-date information technologies and the advent of the Web have accelerated the growth of digital media and, in particular, video collections. Due to semantic gap between the low-level video features and high-level interpretations lots of difficulties remain in the construction of video stream semantic structure. Relational model of video parsing has been proposed. Each frame...
Massive open online courses (MOOCs) have high potential for improving education worldwide, but understanding of student behavior and situations is difficult to achieve in online settings. Network analytics and visualizations can assist instructors with supporting understanding of student behavior as courses unfold. In this work, we perform a visual comparative analysis of two different MOOC courses...
Multispectral image fusion has attracted much attention in the area of computer vision based image processing for remote sensing, industrial automation, surveillance, medical and defense applications. The process carried out in image fusion is combining useful information stated on different channels related to the same scene. Since the proposed image fusion technique greatly improve the performance...
In the last two decades some methods and tools have been proposed to identify the Design Pattern (DP) instances implemented in an existing Object Oriented (OO) software system. This allows to know which OO components are involved in each DP instance. Such a knowledge is useful to better understand the system thus reducing the effort to modify and evolve it. The results obtained by the existing methods...
Architecture is considered as a visual stimulus which can affect the people physically and psychologically. Researchers have shown that human have a preference on images of natural related building and have a restorative effect improving cognition and affection level. In this paper, an original study has been thoroughly carried out to objectively and quantitatively prove the ecological designed military...
This paper summarizes the MSR Image Recognition Challenge (IRC) running with ICME 2016 Grand Challenges. Since 2013, Microsoft Research has hosted a series of IRCs to motivate the academic and industrial community to solve real-world large-scale image retrieval and recognition problems. This IRC in ICME 2016 continually leveraged the Clickture dataset [1], a large-scale real-world image click data...
What makes a person pick certain tags over others when tagging an image? Does the order that a person presents tags for a given image follow an implicit bias that is personal? Can these biases be used to improve existing automated image tagging systems? We show that tag ordering, which has been largely overlooked by the image tagging community, is an important cue in understanding user tagging behavior...
In this paper, we address the problem of ship detection in PolSAR image. We firstly investigate the differences of scattering mechanism between ship targets and the sea surface based on the polarimetric similarity analysis. It is shown that, the sea surface scattering is dominated by the odd bounce (denoted as r1), while the scattering of ship targets are both dominated by the even bounce scattering...
Diversity is a key characteristic of a classifier ensemble. A classifier ensemble must be composed of base classifiers with different performance in different areas of the problem space. Several works studied different diversity measures by performing extensive numerical experiments. However, up to our knowledge, no method has been proposed to visualize the diversity of a classifier ensemble. In this...
In this paper, we propose a l2,1-norm based discriminative robust transfer learning (DKTL) method for domain adaptation tasks. The key idea is to simultaneously learn discriminative subspaces by using the proposed domain-class-consistency (DCC) metric, and the representation based robust transfer model between source domain and target domain via l21-norm minimization. The DCC metric includes two parts:...
In this paper, we propose combined visual features for person re-identification. Our features are based on the multiple hand-crafted visual features. The proposed features are a combination of histogram from the RGB, YUV and HSV color channels, LBP and SIFT features. Then we use different distance metric learning methods to measure the similarity of the same persons and different persons. Experimental...
The aim of person re-identification is to match pedestrians which across disjoint camera views. Many features have been proposed to improve the re-identification accuracy. However, due to significant person appearance variations in viewpoints, poses, and illumination across different cameras, individual feature is less discriminative to represent the different person images. In this paper, we propose...
In the past, many research efforts are invested into discriminative action recognition task but the general temporal structure of human actions is overlooked. In this paper, we focus on a specific yet common structure of human actions: temporal symmetry. The key contribution is that we model the temporal symmetry property of human action and separate this signal out of original action sequences without...
Since the number of surveillance cameras in public areas increases very fast, massive crowd videos are captured and shared, which brings an urgent need to retrieve these videos efficiently and effectively. However, most recent research on crowd video mainly focused on crowd behavior understanding and abnormal detection. In this study, as the very first attempt, we propose a crowd video retrieval method...
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