In the modern world, surveillance is ubiquitous and pervasive. One of the most common such surveillance is video surveillance. While the present day technological advances have provided the state-of-the-art gadgetry f...
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With the rapid expansion of Internet and distributed technology, multimedia security and digital rights management have been received much attention in the literature, As a major method for intellectual property right...
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Recent advances in digital photography have enabled the development and demonstration of plenoptic cameras with impressive capabilities. They function by recording sub-aperture images that can be combined to re-focus ...
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ISBN:
(纸本)9780819485946
Recent advances in digital photography have enabled the development and demonstration of plenoptic cameras with impressive capabilities. They function by recording sub-aperture images that can be combined to re-focus images or to generate stereoscopic pairs. Plenoptic methods are being explored for fusing images from distributed arrays of cameras, with a view toward applications in which hardware resources are limited (e. g. size, weight, power constraints). Through computer simulation and experimental studies, the influences of non-idealities such as camera position uncertainty are being considered. Component image rescaling and balancing methods are being explored to compensate. Of interest is the impact on precision passive ranging and super-resolution. In a preliminary experiment, a set of images from a camera array was recorded and merged to form a 3D representation of a scene. Conventional plenoptic refocusing was demonstrated and techniques were explored for balancing the images. Nonlinear methods were explored for combining the images limited the ghosting caused by sub-sampling. Plenoptic processing was explored as a means for determining 3D information from airborne video. Successive frames were processed as camera array elements to extract the heights of structures. Practical means were considered for rendering the 3D information in color.
High efficient acquisition of the sensor array signals and accurate reconstruction of the backscatters medium are important issues in ultrasound reveive beamforming. This paper presents a novel receive beamforming app...
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With the increasing computational power of mobile devices and the increase in the usage of ordinary location-based services, the area of indoor location-based services is of growing interest. Nowadays indoor location-...
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ISBN:
(纸本)9781457718045
With the increasing computational power of mobile devices and the increase in the usage of ordinary location-based services, the area of indoor location-based services is of growing interest. Nowadays indoor location-based services are used mainly for personalized information retrieval of maps and points of interest. Advanced location-based functionality often suffers from imprecise positioning methods. In this paper we present a simple, yet powerful positioning method inside buildings which allows for a fine-grained detection of the position and orientation of a user while being easy to deploy and optimize. The main contribution of this paper consists of the combination of an image recognition system with a distance estimation algorithm to gain a high-quality positioning service independent from any infrastructure using the camera of a mobile device. Moreover this type of positioning can be operated in a user-contributed way and is less susceptible to small changes in the environment as compared to popular WLAN-based systems. As an extension, we propose the usage of very coarse WLAN positioning to reduce the size of the candidate set of image recognition and hence speed up the system.
In this paper, a highly effective and efficient ensemble learning based parallel impulse noise detection algorithm is proposed. The contribution of this paper is three-fold. First, we propose a novel intensity homogen...
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ISBN:
(纸本)9780819484093
In this paper, a highly effective and efficient ensemble learning based parallel impulse noise detection algorithm is proposed. The contribution of this paper is three-fold. First, we propose a novel intensity homogeneity metric-Directional Homogeneity Descriptor(DHD), which has very powerful discriminative ability and has been proven in our previous work. 1 Second, this proposed algorithm has high parallelism in feature extraction stage, classifier training, and testing stage. And the proposed architecture are very suitable for distributedprocessing. Finally, instead of manually tune the thresholds for each feature as most of the works in this research area do, we use Random Forest to make decision since it has been demonstrated to own better generalization ability and performance comparable to SVM or Boosting in classification problem. Another important reason we adopt Random Forest is that it has natural parallelism structure and very significant performance advantage (e. g. the overhead of training and testing the model is very low) over other popular classifiers e. g. SVM or Boosting. To the best of our knowledge, this is the first time ensemble learning strategies have been used in the area of switching median filtering. Extensive simulations are carried out on several most common standard testing images. The experimental results show that our algorithm achieves zero miss detection results while keeping the false alarm rate at a rather low level and has great superiority over other state-of-the-art methods.
The proceedings contain 114 papers. The topics discussed include: dynamic placement of virtual machines for cost optimization in multi-cloud environments;machines, methods and music: on the evolution of e-research;par...
ISBN:
(纸本)9781612843810
The proceedings contain 114 papers. The topics discussed include: dynamic placement of virtual machines for cost optimization in multi-cloud environments;machines, methods and music: on the evolution of e-research;parallel and distributed simulation from many cores to the public cloud;exploiting concurrent kernel execution on graphic processing units;parallelization of the functional flow algorithm for prediction of protein function using protein-protein interaction networks;towards self-caring MapReduce: proactively reducing fault-induced execution-time penalties;linear programming based parallel job scheduling for power constrained systems;improved real-time scheduling for periodic tasks on multiprocessors;task scheduling strategies for dynamic reconfigurable processors in distributed systems;a hybrid scheduling technique for grid workflows in advance reservation environments;and meeting deadlines within object-oriented systems.
BRDF (Bidirectional Reflective Distribution Function) is broadly used in many fields, such as physics, heat transformation, remote sensing, and computer graphics. Traditional methods to measure BRDF are expensive for ...
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ISBN:
(纸本)9780819488411
BRDF (Bidirectional Reflective Distribution Function) is broadly used in many fields, such as physics, heat transformation, remote sensing, and computer graphics. Traditional methods to measure BRDF are expensive for most peoples, and image based approach becomes a novel direction. Until now, for such an image based system, at least a video camera and a still camera are indispensible, and the operations are not easily carried out under a convenient condition. In this paper, a method using only one still camera is proposed, with the help of a light source, a cylinder support, and a sphere. The material to be measured is painted on the sphere, putting on the cylinder support painted with BRDF-known material. Around the cylinder support, a simple control points nets are distributed. In the measurement process, the light source and the support are fixed, operators goes around the sphere to obtain pictures at different view angles and the rest work is finished automatically by a set of programs. The pictures are first processed by a photogrammetric program to get the geometry in the scene, including the positions, directions, and the shapes of light source, the support, the sphere, and the cameras. The BRDF samples are calculated from the image intensity and the obtained geometric relations, which are approximated by a multivariable spline to get a full BRDF description. Three different materials are tested with the method.
Sensor networks are often redundant by design in order to achieve reliability in information processing. In many cases, the relationships between the different sensors are known a-priori, and can be represented as vir...
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ISBN:
(纸本)9781457705137
Sensor networks are often redundant by design in order to achieve reliability in information processing. In many cases, the relationships between the different sensors are known a-priori, and can be represented as virtual linkages among the different sensors. These virtual linkages correspond to an information network of sensors, which provides useful external input to the problem of sensor selection. In this paper, we propose the unique approach of using external linkage information in order to improve the efficiency of very large scale sensor selection. We design efficient theoretical models, including a greedy approximation algorithm and an integer programming formulation for sensor selection. Our greedy selection algorithm provides an approximation bound of (e-1)/(2.e-1), where e is the base of the natural logarithm. We show that our approach is much more effective than baseline sampling strategies. We present experimental results that illustrate the effectiveness and efficiency of our approach.
We present a survey of results concerning Lempel-Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of desi...
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We present a survey of results concerning Lempel-Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of designing distributed algorithms with low communication cost. An extension by Storer to image compression is also discussed.
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