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We develop a novel algorithmic representation of textures using the statistics of multiple spectral components of images. Histograms of filter responses are viewed as elements of a non-parametric statistical manifold, and local texture patterns are compared using a geodesic metric derived from Riemannian information geometry. Several region-based image segmentation experiments are carried out to test...
In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total asymptotic efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary...
Most of the stereo algorithms available today use only Luminance images, assuming that the chromatic channels are redundant. This is based on the assumption that the Luminance channel holds most of the information. We propose to improve the disparity estimation by working in a transformed color space. The optimal color space is found by minimizing the disparity estimation variance, which is calculated...
Recently, communication systems with multiple transmission and reception antennas (MIMO) have been introduced and proven to be suitable for achieving a high spectral efficiency. Assuming full channel knowledge at the receiver, so-called sphere detectors have been shown to solve the maximum likelihood detection problem at acceptable complexity. In the context of coded transmission, however, the detector...
This paper deals with the energy based control of a group of interconnected vehicles modeled as point masses. The control design is carried out by first shaping the kinetic energy and afterwards adding virtual potential energy and dissipative terms in order to achieve the desired stability performance. We assume that the vehicles move on a 2D surface and apply the results to simple examples with two...
In this paper we investigate performance metrics for quantitative evaluation of object-based video segmentation algorithms. The metrics address the case when ground-truth video object planes are available. The proposed metrics are used to evaluate three essentially different approaches for video segmentation, i.e., an edge-based [1], a motion clustering based [2], and a total feature vector clustering...
A suboptimality theorem, i.e. an ε-maximum principle for generalized control systems is proven which also applies in cases if there is no optimal trajectory. We apply the result to obtain a suboptimality theorem for differential inclusion problems.
The method of MultiScale Entropy (MSE) is an invaluable tool to quantify and compare the complexity of physiological time series at different time scales. Although MSE traditionally employs sample entropy to measure the unpredictability of each coarse-grained series, the same framework can be applied to other metrics.
A framework that can be used for assessing the suitability of different feature vectors in the task of determining the age similarity between a pair of faces is introduced. This framework involves the use of a dataset containing images displaying compounded types of variation along with the use of an ideal dataset, containing pairs of age-separated face images captured under identical imaging conditions...
The data derived from the social tagging system, known as folksonomy, is a potentially useful source for understanding users' intentions. This study seeks to uncover some of the unexplored areas of folksonomy and examine the plausibility of new ideas for the improvement of personalized search. In particular, we challenge several state-of-the-art algorithms by exploiting folksonomy network structures...
Respiration rate (RR) is one of the important vital signs used for clinical monitoring of neonates in intensive care units. Due to the fragile skin of the neonates, it is preferable to have monitoring systems with minimal contact with the neonate. Recently, several methods have been proposed for contact-free monitoring of vital signs using a video camera. Detection of the chest-and-abdomen region...
Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same scene in re-identification problem? and (2)...
The TRECVID report of 2010 [14] evaluated video shot boundary detectors as achieving "excellent performance on [hard] cuts and gradual transitions." Unfortunately, while re-evaluating the state of the art of the shot boundary detection, we found that they need to be improved because the characteristics of consumer-produced videos have changed significantly since the introduction of mobile...
Human re-identification remains one of the fundamental, difficult problems in video surveillance and analysis. Current metric learning algorithms mainly focus on finding an optimized vector space such that observations of the same person in this space have a smaller distance than observations of two different people. In this paper, we propose a novel metric learning approach to the human reidentification...
Vessel tortuosity is an important parameter in determining the presence or the severity of various diseases that are diagnosed based on the pathology of vessels. An accurate quantification of vessel tortuosity would therefore be of great clinical significance. Usually, the branches of blood vessels are also captured, along with the major blood vessel, in the medical images, thereby posing a challenge...
In this paper, we present a novel approach for recognition of human faces using Markov Random Fields (MRF) and Bayesian models. We examine the relationship between feature vectors in a close proximity system. The feature vectors are coefficients of the 2D Gabor Wavelet Transform (DWGT). The MRF is implemented to match the constraint configurations between the feature vectors. The MRFs posterior probability...
In this paper, we describe a novel method using only optical flow from a single camera and inertial information to quickly initialize, deploy, and autonomously stabilize an inherently unstable aerial vehicle. Our approach requires a minimal number of tracked features in only two consecutive frames and inertial readings eliminating the need of long feature tracks or local maps and rendering it inherently...
This paper tackles the problem of categorizing materials and textures by exploiting the second order statistics. To this end, we introduce the Extrinsic Vector of Locally Aggregated Descriptors (E-VLAD), a method to combine local and structured descriptors into a unified vector representation where each local descriptor is a Covariance Descriptor (CovD). In doing so, we make use of an accelerated...
It is a well-known fact that financial markets react to information. Even though this relationship seems simple, finding evidence is not easy since information is embedded in textual news releases. Only recent have researchers started to look at the content of news. Interestingly, previous work avoids the inference of a causal relationship between news messages and abnormal returns. In this paper,...
Trustworthiness is a very critical element and should be treated as an important reference when customers try to select proper e-commerce systems. Trustworthiness evaluation requires the management of a wide variety of information types, parameters and uncertainties. Multi-criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform trustworthiness evaluations as a result...
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