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Video communication through wireless channel has always been a challenging issue. Transmitting the compressed video through erroneous channel may lead to packet loss, eventually degrading the image quality. Thus an error detection and concealment scheme is applied at the decoder. This paper presents the error detection and concealment technique. The research work includes the spatio-temporal error...
Random grid (RG)-based visual secret sharing (VSS) has neither pixel expansion nor codebook design. VSS for general access structure (GAS) has wider applications compared with (k, n) threshold VSS. Previous RG-based VSS schemes for GAS have the limitations of "all-or-nothing" or low visual quality. In this paper, we propose a progressive VSS (PVSS) scheme for GAS with improved visual quality...
Multidimensional Scaling (MDS) is one of the most versatile tools used for exploratory data mining. It allows a first glimpse of possible structure in the data, which can inform the choice of analyses used. Its uses are multiple. It can give the user an idea as to the clusterability or linear separability of the data. It can help spot outliers, or can hint at the intrinsic dimensionality of the data...
In this paper, we propose SpreadViz, a web tool for exploration and visualization of spreading processes in social networks. SpreadViz consists of three main modules, namely graph exploration and analytics, detection of influential nodes, and interactive visualization. More precisely, SpreadViz offers the following functionalities: (i) It computes and visualizes various centrality criteria towards...
Artificial fish swarm algorithm (AFSA) is a newly proposed swarm intelligent optimization algorithm. It is proved to be a promising approach to complex engineering problems, yet still there exist some defects of this algorithm. To solve the problem that AFSA has a low rate of convenience, low optimization precision, premature convergence and poor ability of balancing exploitation and exploration,...
The goal of this work is to propose an effective and efficient visual surveillance system for detection, geolocalization, and data association of moving human crowds using teams of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in a border patrol application. Such complex system suffers from various emerging challenges such as: heterogeneous dynamic data, non-rigid target shapes,...
The emerging high efficient video coding (HEVC) standard adopts quad-tree structure to partition the coding unit (CU) which is flexible and efficient. However, it causes enormous computational complexity. In this paper, a fast CU partitioning algorithm in the inter prediction of HEVC is proposed. Firstly, based on the visual saliency map detection, a fast CU partitioning depth prediction algorithm...
In this paper, a saliency aware fast intra coding algorithm for HEVC is proposed consists of perceptual intra coding and fast intra prediction mode decision algorithm. Firstly, based on the visual saliency detection, an adaptive CU splitting method is proposed to reduce intra encoding complexity. Furthermore, quantization parameter is adaptively adjusted at the CU level according to the relative importance...
Feature representation and matching are two challenging problems for person e-identification problem. Designing a suitable feature representation method, and the according high efficiency matching scheme is meaningful. In this paper, a new person re-identification method was put forward. First, an improved BOF method was proposed, it use SURF algorithm to extract the preliminary feature and generate...
Historically, eye tracking systems have been a very useful tool for finding salient regions in interfaces that naturally attract the visual attention of users. Scan paths are created as the eye moves from one salient region to another. Research has shown that a relationship exists between scan path direction and cognitive load when navigating a user interface. The analysis of scan paths during interface...
Search algorithms constitute an important domain of computer science and is considered necessary for students and freshmen to get a deep and complete understanding of their operation. In this work, we present an innovative 3D virtual reality educational environment that aims to assist tutors in teaching and students in better learning the search algorithms. The educational environment utilizes innovative...
This paper introduces a video processing method designed specifically to give researchers access to players' behaviors within any commercially available off-the-shelf PC game. Insights into players' experiences with videogame violence are achieved from automatically processing significant elements of the audio-visual communication/feedback (i.e. moving image and sound) over long periods of uninhibited...
This research presents novel knowledge assessment analysis methods. We add a new parameter, which is the cognitive skill level, to the knowledge assessment. The cognitive skill levels refer to levels such as whether a student has acquired the concept at the level of understanding, applying, analyzing, evaluating, or creating. Identifying the cognitive skill level parameter of the concept in a knowledge...
Figure detection, separation and image classification are common problems occurring in various fields, especially medicine. Since image databases are usually large, manual classification would be a demanding task. In this paper, we proposed a method for automatic compound figure detection and separation, and gave a comparison between other recognition methods, such as convolutional neural networks...
In order to cope with the complex variation of target appearance during visual tracking, a robust tracking algorithm based on multi-scale kernelized least squares (KLS) is proposed. First, by showing that the dense sampling set of translated patches is circulant, using the well-established theory of circulant matrices, kernelized least squares is efficient computed with fast Fourier transform (FFT)...
The Plantcyclopedia application is developed to provide plant information. The difference between this research application and others is the search feature based on an image. The search feature is designed to match the shape and orientation. This application uses a Speeded Up Robust Features (SURF) algorithm to conduct the matching feature process. The SURF algorithm is divided into three main steps...
Web page segmentation aims to break a page into sections that can reveal the information presentation structure and appear coherent to readers. In this paper, we propose a new web page segmentation framework based on the process of analyzing and understanding web page structure. After extracting the segmentation graph structure, we formulate the label assignment task which determines whether each...
Storyline visualization is a technique that captures the spatiotemporal characteristics of individual entities and simultaneously illustrates emerging group behaviors. We developed a storyline visualization leveraging dynamic time warping to parse and cluster eye tracking sequences. Visualization of the results captures the similarities and differences across a group of observers performing acommontask...
We here present parts of our ongoing work to facilitate the largescale analysis of smooth pursuit eye movements made while viewing dynamic natural scenes. Classification of smooth pursuit episodes can be difficult in the presence of eye-tracking noise, and we thus recently proposed an algorithm that clusters gaze recordings from several observers in order to improve classification robustness. We now...
In low luminance images (night scene), it suffers from various problems, e.g., low overall brightness, poor contrast and serious lack of information. However, in some scenario, strong light also appears in these images. In this case, the regions of high and low luminance both exist, which introduces a more complicated situation for image enhancement. In this paper, we present an enhancement method...
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