Journal of Intelligent & Fuzzy Systems - Volume 31, issue 5

Authors: Pan-Pan, Niu | Xiang-Yang, Wang | Qing-Bo, Yin | Li-Ran, Shen

Article Type: Research Article

Abstract: In multimedia technology enhanced learning, digital watermarking is an important technique for protecting copyrighted multimedia materials. In this paper, we propose a robust color image watermarking scheme using quaternion geometric Legendre moment invariants (QGLMIs). Firstly, the original image is divided into color image blocks. Then, the Quaternion Discrete Cosine Transform (QDCT) is performed on the color image block. Finally, the digital watermark is embedded into original color image by adaptively modulating the real QDCT coefficients of color image block. For watermark detecting, the LS-SVM correction with low-order QGLMIs is utilized. Experimental results show that the proposed color image watermarking is …not only invisible and robust against common image processing operations (especially for color attacks), but also robust against geometrical distortions. Show more

Keywords: Color image watermarking, color attacks, geometric distortions, quaternion geometric Legendre moment invariants

DOI: 10.3233/JIFS-169096

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2553-2564, 2016

Authors: Chen, Shu | Huang, Benxiong

Article Type: Research Article

Abstract: With the rapid development of urbane-centered economy, urban area has gone through strong but heterogeneous sprawl. In such complex urban systems, it is impossible to established teaching centers of night school in every district of city for continuing education programs. Part-time students tend to be educated in popular locations of city due to convenience. Since call logs and geographical nature of mobile phone data can provide an opportunity to measure human behavior and social dynamics, we investigate how to infer urban popular locations with large-scale quasi-social network for avoiding the limitation of data collection and even privacy problems. A large-scale …quasi-social network model is developed via measuring the number of shared-user between zones, which is different from previous models for social network. We first verify whether or not this model also can show the social structure of given data, the ranking of places in the model have been calculated based on eigvalue metric. To understand the connections between popular locations of human activity and spatial structure, we present a method to infer the core zones in given region, and then we use a simple metric to evaluate the most popular locations of human activity. Show more

Keywords: Education programs, social network, popular locations, case study

DOI: 10.3233/JIFS-169097

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2565-2572, 2016

Authors: Wang, Fasheng | Xiao, Zhibo | Chen, Wei | Li, Xucheng | Lu, Mingyu

Article Type: Research Article

Abstract: Visual tracking is of great importance in multimedia technology enhanced learning. Many human-machine interaction based learning/teaching activities need tracking of specific object. Particle filter has grown to be a standard framework for visual tracking in the past decades. One of its key issues is the design of the proposal distribution which can greatly affect the performance of particle trackers. In this paper we propose an enhanced particle filter for robust visual tracking. First, we propose a new particle filter using two proposal distributions to generate particles, that is, the unscented Kalman filter and the transition prior. Second, we introduce the …locality sensitive histogram (LSH) and color based appearance model to deal with the appearance variation within the particle filter tracking framework. Third, by combining our new particle filter and the LSH and color based appearance model, we develop a robust tracking algorithm. Experimental results show that our tracking algorithm is better than or not worse than several other tracking algorithms over several public sequences. Show more

Keywords: Video based learning, visual tracking, particle filter, proposal distribution

DOI: 10.3233/JIFS-169098

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2573-2581, 2016

Authors: Li, Wenbin | Cosker, Darren | Brown, Matthew

Article Type: Research Article

Abstract: It is hard to densely track a nonrigid object in long term, which is a fundamental research issue in the computer vision community. This task often relies on estimating pairwise correspondences between images over time where the error is accumulated and leads to a drift . In this paper, we introduce a novel optimisation framework with an Anchor Patch constraint. It is supposed to significantly reduce overall errors given long sequences containing nonrigidly deformable objects. Our framework can be applied to any dense tracking algorithm, e.g. optical flow. We demonstrate the success of our approach by showing significant error …reduction on 6 popular optical flow algorithms applied to a range of realworld nonrigid benchmarks. We also provide quantitative analysis of our approach given synthetic occlusions and image noise. Show more

Keywords: Computer vision, dense tracking, anchor patch, optical flow, drift, long sequence

DOI: 10.3233/JIFS-169099

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2583-2595, 2016

Authors: Khan, M.S.L. | Li, Haibo | ur Réhman, Shafiq

Article Type: Research Article

Abstract: Socially interactive systems are embodied agents that engage in social interactions with humans. From a design perspective, these systems are built by considering a biologically inspired design (Bio-inspired) that can mimic and simulate human-like communication cues and gestures. The design of a bio-inspired system usually consists of (i) studying biological characteristics, (ii) designing a similar biological robot, and (iii) motion planning, that can mimic the biological counterpart. In this article, we present a design, development, control-strategy and verification of our socially interactive bio-inspired robot, namely - Telepresence Mechatronic Robot (TEBoT). The key contribution of our work is an embodiment of …a real human-neck movements by, i) designing a mechatronic platform based on the dynamics of a real human neck and ii) capturing the real head movements through our novel single-camera based vision algorithm. Our socially interactive bio-inspired system is based on an intuitive integration-design strategy that combines computer vision based geometric head pose estimation algorithm, model based design (MBD) approach and real-time motion planning techniques. We have conducted an extensive testing to demonstrate effectiveness and robustness of our proposed system. Show more

Keywords: Socially interactive robot, biologically inspired robot, head pose estimation, vision based robot control, model based design, embodied telepresence system

DOI: 10.3233/JIFS-169100

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2597-2610, 2016

Authors: Zheng, Zhigao | Huang, Tao | Zhang, Hao | Sun, Shenli | Wen, Jinming | Wang, Ping

Article Type: Research Article

Abstract: The virtualization design management and adaptive resource migration techniques are typically used for energy saving and system reliability improvement in the cloud computing system. The paper presents a resource migration technique based on node performance and failure rule (NPFR-RMT). It uses Broker to access node performance to determine abnormal nodes and failure nodes. All nodes in the idle queue are conducted failure rule detection with failure model. The fast and slow nodes are determined by node performance threshold analysis. The NPFR-RMT adds slow nodes and failure nodes into idle queue. The virtual machine (VM) migration method is also adapted to …migrate tasks to normal nodes in idle queue for re-execution. Comparison experiment results show that the NPFR-RMT method presented in the paper can achieve expected aim that reducing energy consumption of data centers while ensuring service performance. Show more

Keywords: Cloud computing, resource migration, node performance, failure rule

DOI: 10.3233/JIFS-169101

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2611-2618, 2016

Authors: Mehmood, Rashid | Bie, Rongfang | Jiao, Libin | Dawood, Hussain | Sun, Yunchun

Article Type: Research Article

Abstract: Clustering by fast search and find of density peaks (CFSFDP) was proposed to create clusters by finding high-density peaks, quickly. CFSFDP mainly based on two rules: 1) a cluster center has a high dense point and 2) a cluster center lies at a large distance from other clusters centers. The effectiveness of CFSFDP highly depends upon the cutoff distance (C d ), which is used to estimate the density of each data point. However, there is a need to provide the predefined C d . In this paper, we propose an adaptive way to estimate the accurate C …d by using the characteristics of Improved Sheather-Jones (ISJ) method named as IJS-CFSFDP. ISJ method provides the best estimation for C d to measure accurate density of each data point. We perform a number of experiments on standard benchmark clustering datasets and real academic dataset of students. The evaluated clustering results on education dataset validate the IJS-CFSFDP can be used to make intelligent contents delivery system based on the capability and intelligence of the student. The experimental results on synthetic datasets show that the proposed adaptive C d method creates better clusters as compare to the CFSFDP, mean shift, affinity propagation and k-means. Show more

Keywords: Density based clustering, kernel density estimation, optimal cutoff distance selection, Improved Sheather-Jones (ISJ) method

DOI: 10.3233/JIFS-169102

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2619-2628, 2016

Authors: Lu, Wen | Qi, Jingjing | Liu, Qi | Zhou, Ziheng | Yang, Jiachen

Article Type: Research Article

Abstract: Foggy weather brings lots of inconvenience for outdoor safety surveillance in the densely populated school education area. Research on image and video dehazing is able to solve this problem. Most existing methods recover the haze-free scenes relying on the atmospheric scattering model in image dehazing, which often suffer from halo artifacts because of the indistinct edges in the scene depth map. L 0 gradient minimization is introduced to better preserve and locate important edges globally to optimize the scene depth map, making use of this physical model in this paper. Firstly, a rough scene depth map based on the …inherent boundary constraint prior on the scene is estimated. Secondly, the rough scene depth map in bright regions is compensated with an adaptive term. Then this compensated scene depth map is put into an optimizing framework to get a refined depth map to make it closer to the ideal scene depth. Finally, with the refined depth map and global atmospheric light, we can recover the haze-free scenes using the atmospheric scatting model. Experimental results show the proposed is better to obtain haze-free scenes with sharp edges, abundant details and vivid color while dealing well with bright areas. Show more

Keywords: Image dehazing, L0 gradient minimization, scene depth map, haze-free scenes

DOI: 10.3233/JIFS-169103

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2629-2636, 2016

Authors: Cao, Bin | Kang, Yang | Lin, Shujin | Luo, Xiaonan | Xu, Songhua | Lv, Zhihan

Article Type: Research Article

Abstract: Traditional sketch-based 3D model retrieval methods are content-based, which return the search results by ranking the geometric similarities among a free-hand drawing and 3D model candidates. These conventional methods do not consider personal drawing characteristics and styles (abbreviated as styles), which are obvious and important in user’s sketch queries. An ordinary user presumably is not a professional and skillful artist. Therefore, users are likely to introduce personal drawing style in sketching 3D model rather than faithfully render the model according to its geometric perspectives. For amateurs, such personal styles are unintentionally introduced due to their limited sketching capabilities. As determined …by a person’s sketching habit, personal drawing styles are largely personally consistent and stable. Ignoring such non-trivial personal styles while attempting to reconstruct intended models according to their sketch inputs does not usually produce satisfactory outcomes, in particular, for amateur sketchers. To overcome this problem, we propose a novel style-sensitive 3D model retrieval method based on three-view user sketch inputs. The new method models users’ personal sketching styles and constructs joint tensor factorization to improve the retrieval performance. Show more

Keywords: Three views, gabor filter, tensor factorization, style, cluster

DOI: 10.3233/JIFS-169104

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2637-2644, 2016

Authors: Abbas, Haider | Yasin, Muhammad | Ahmed, Fahad | Sajid, Anam | Khan, Farrukh Aslam | Ashfaq, Rana Aamir Raza | Haldar, Nur Al Hasan

Article Type: Research Article

Abstract: Social media have emerged as an inexpensive and efficient way of communication during the past few years. Facebook is leading the global social networking that provides multiple channels for sharing information with the community. There are various ways to access a Facebook account such as through a web browser, mobile applications and third-party desktop applications for Facebook. Platforms like desktop applications for social media are of benefit to users as they provide ease of access and availability, but in the case of a user’s data privacy breach including illegitimate social behavior, it becomes a challenge for the forensic examiners to …track such activities for learning purposes. The aim of digital forensics is to get hold of the existing legal evidence present within the digital media. The major focus of this research is to investigate and analyze the two Facebook desktop applications: Fosimo and Sobees, with respect to the tracking of the user activities. The Facebook desktop applications are examined by analyzing the Windows registry, browser, cookie, cache, connection analysis and the local installation directory. As a result of this research, we ensure that the footprint gathering of the user activity from Windows registry and browser files is performed in such a way that it could be used for forensic artifacts modeling keeping the integrity of the whole process. Show more

Keywords: Social media forensics, social media clients, forensic artifacts intelligence, Facebook desktop application

DOI: 10.3233/JIFS-169105

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 5, pp. 2645-2658, 2016