scholarly journals Pose Estimation in Noncontinuous Video Sequences Using Evolutionary Correlation Filtering

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Kenia Picos ◽  
Ulises Orozco-Rosas ◽  
Victor H. Díaz-Ramírez ◽  
Oscar Montiel
Keyword(s):  
Pose Estimation ◽  
Filter Bank ◽  
Motion Blur ◽  
Video Sequences ◽  
Statistical Parameters ◽  
Objective Metrics ◽  
Cluttered Background ◽  
Matching Score ◽  
Correlation Filtering

In this paper, we propose an evolutionary correlation filtering approach for solving pose estimation in noncontinuous video sequences. The proposed algorithm computes the linear correlation between the input scene containing a target in an unknown environment and a bank of matched filters constructed from multiple views of the target and estimates of statistical parameters of the scene. An evolutionary approach for finding the optimal filter that produces the highest matching score in the correlator is implemented. The parameters of the filter bank evolve through generations to refine the quality of pose estimation. The obtained results demonstrate the robustness of the proposed algorithm in challenging image conditions such as noise, cluttered background, abrupt pose changes, and motion blur. The performance of the proposed algorithm yields high accuracy in terms of objective metrics for pose estimation in noncontinuous video sequences.

scholarly journals Adaptive Reservation of Network Resources According to Video Classification Scenes

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1949
Author(s):  
Lukas Sevcik ◽  
Miroslav Voznak
Keyword(s):  
User Satisfaction ◽  
Quality Evaluation ◽  
Spatial Information ◽  
Service Providers ◽  
Video Quality ◽  
Subjective Assessment ◽  
Video Sequences ◽  
Network Resources ◽  
Proposed Model

Video quality evaluation needs a combined approach that includes subjective and objective metrics, testing, and monitoring of the network. This paper deals with the novel approach of mapping quality of service (QoS) to quality of experience (QoE) using QoE metrics to determine user satisfaction limits, and applying QoS tools to provide the minimum QoE expected by users. Our aim was to connect objective estimations of video quality with the subjective estimations. A comprehensive tool for the estimation of the subjective evaluation is proposed. This new idea is based on the evaluation and marking of video sequences using the sentinel flag derived from spatial information (SI) and temporal information (TI) in individual video frames. The authors of this paper created a video database for quality evaluation, and derived SI and TI from each video sequence for classifying the scenes. Video scenes from the database were evaluated by objective and subjective assessment. Based on the results, a new model for prediction of subjective quality is defined and presented in this paper. This quality is predicted using an artificial neural network based on the objective evaluation and the type of video sequences defined by qualitative parameters such as resolution, compression standard, and bitstream. Furthermore, the authors created an optimum mapping function to define the threshold for the variable bitrate setting based on the flag in the video, determining the type of scene in the proposed model. This function allows one to allocate a bitrate dynamically for a particular segment of the scene and maintains the desired quality. Our proposed model can help video service providers with the increasing the comfort of the end users. The variable bitstream ensures consistent video quality and customer satisfaction, while network resources are used effectively. The proposed model can also predict the appropriate bitrate based on the required quality of video sequences, defined using either objective or subjective assessment.

Analysis of structures of flat planting machines

2021 ◽  
Vol 13 (1) ◽  
pp. 140-148
Author(s):  
Andrіі Slabkyі ◽  
◽  
Olexandr Manzhilevskyy ◽  
Olexandr Polishchuk ◽  
◽  
...  
Keyword(s):  
Cutting Tool ◽  
Relative Movement ◽  
Statistical Parameters ◽  
Abrasive Finishing ◽  
Wide Range ◽  
Uneven Wear ◽  
Lapping Machine ◽  
Numerical Program ◽  
Hydraulic Pulse

One of the methods of material processing is considered, which allows to obtain high geometric accuracy and low surface roughness of parts, namely their abrasive finishing. The high quality of machining of parts in this way is due to the use of coordinated relative movement of the workpiece and the cutting tool. According to the kinematic features, most lapping machines can be divided into two groups: machines with oscillating working motion and machines with rotating lapping motion. The machines of the first group are more common due to the simplicity of their design and versatility. However, the possibility of their use is limited by the size range of the workpieces and uneven wear of the cutting tool and, as a consequence, the uneven surface treatment of the part. The machines of the second group are considered the most versatile, as they allow processing a wide range of parts, varying in shape and size, but they are also not without such a disadvantage as uneven wear of the cutting tool with all the corresponding consequences. Improving the efficiency of abrasive finishing by complicating the trajectory of the relative movement of the tool and the part, ie the formation of a unique mutual working movement of the lapping and the movement of the workpiece, is one of the most common areas. The main disadvantage of equipment that provides processing of parts on this principle is, in most cases, limited regulation of the operating parameters of the cutting process, so this area remains promising and has broad prospects for development. The constructive scheme of the hydraulic-pulse flat-lapping machine offered in work thanks to a combination of advantages of the hydraulic-pulse drive with use of numerical program control will allow to provide unique mutual multi-movement of preparation and the lapping tool with a possibility of adjustment of its parameters in the course of processing. Purposeful choice of the shape and density of the trajectory of the working movement of the tool will form a micro relief of the treated surface with the necessary statistical parameters and low roughness.

A Semantic Differential for Evaluating the Sound Quality of Fan Systems

2017 ◽  
Author(s):  
Carolin Feldmann ◽  
Thomas Carolus ◽  
Marc Schneider
Keyword(s):  
Principal Component ◽  
Semantic Differential ◽  
Sound Quality ◽  
Heat Pumps ◽  
First Case ◽  
Objective Metrics ◽  
Main Components ◽  
Air Conditioning Systems ◽  
The University

Fans are main components e.g. in heating, ventilating and air conditioning systems for vehicles or buildings, cooling units of engines and electronic circuits, and household appliances such as kitchen exhaust hoods or vacuum cleaners. End-users increasingly demand a high sound quality of their system or device. The overall objective of a recent research project at the University of Siegen is a multidimensional assessment of fan sound quality. In a first step an advanced novel semantic differential for the assessment of fan-related sounds is established with the aid of carefully designed jury tests. Eventually, this semantic differential is employed for sound quality jury tests of fans in kitchen exhaust hoods, heat pumps and air purifiers as a first case. Finally, a prediction model is suggested, which relates the outcome from the jury tests to objective metrics. A principal component analysis is carried out and yields five main assessment criteria with 23 relevant adjective scales. The results show that the perceived sound quality of fan systems is mainly determined by the loudness and tonality of the sound. The spectral content (represented by the sharpness) as well as the time structure (represented by the roughness) have no significant impact on perceived sound quality of the fan systems investigated.

scholarly journals Object detection and tracking in video sequences: formalization, metrics and results

Informatics ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 43-60
Author(s):  
R. P. Bohush ◽  
S. V. Ablameyko
Keyword(s):  
Moving Objects ◽  
Human Movement ◽  
Video Sequences ◽  
Multiple Objects ◽  
Movement Trajectories ◽  
Detection And Tracking ◽  
Form Features ◽  
One And Many ◽  
Tracking Objects

One of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video sequence. The paper presents a formalization of the detection and tracking of one and many objects in video. The following metrics are considered: the quality of detection of tracked objects, the accuracy of determining the location of the object in a frame, the trajectory of movement, the accuracy of tracking multiple objects. Based on the considered generalization, an algorithm for tracking people has been developed that uses the tracking through detection method and convolutional neural networks to detect people and form features. Neural network features are included in a composite descriptor that also contains geometric and color features to describe each detected person in the frame. The results of experiments based on the considered criteria are presented, and it is experimentally confirmed that the improvement of the detector operation makes it possible to increase the accuracy of tracking objects. Examples of frames of processed video sequences with visualization of human movement trajectories are presented.

scholarly journals Research of urban agglomerations in the aspect of implementation of the administrative and territorial reform in Ukraine (case study of Kharkiv region)

2019 ◽  
Keyword(s):  
Spatial Structure ◽  
Spatial Organization ◽  
Weighted Average ◽  
Evolutionary Potential ◽  
Statistical Parameters ◽  
Urban Agglomerations ◽  
Territorial Structure

In the modern context of, one of the main tasks in the regional development management is to optimally realize the complex potential of the territories, which requires a comprehensive study of the spatial structure and evolutionary potential of agglomerations of all levels in order to identify disparities in their development, correct imbalances and optimize the spatial organization of the region. The first step to solve this problem is to identify the spatial structure and evaluate the interconnections of agglomerations sequentially, from local to regional level. This is becoming more relevant in the context of administrative and territorial reform in Ukraine. The purpose of this study is to analyze the prospects for the development of urban agglomerations and the organization of the administrative and territorial structure of Kharkiv region in view of the prevailing influence of the city of Kharkiv and the Kharkiv agglomeration. The basic theoretical and methodological starting points of the study of urban agglomerations are presented; their characteristics and parameters of boundary determination were defined. The essence of the method of modeling of integral influence function (IIF modeling) was revealed, the author's research methodology was substantiated. The tendencies of introduction of administrative and territorial reform in Ukraine were analyzed. It was established that Kharkiv region occupies mediocre places in terms of formation of the united territorial communities, there were 23 ones in the oblast (3 of them are city, 12 town, 8 rural ones) by the end of 2019. The scheme for dividing into enlarged districts has not yet been approved. According to different plans / proposals, the existing 27 districts of the oblast should be consolidated into nine, seven, six or four enlarged districts (counties). All of the above proposals were considered by the authors, it is established that the existing projects do not fully cover the main prevailing factors of allocation of competitive districts, do not take into account the role of historically formed system of settlement, spatial-statistical parameters, integral potential of territories, urbanization and agglomeration. The authors performed the IIF modeling and constructed the IIF surface of the weighted average settlement potential of Kharkiv region by the base radius of influence (2, 10, 20, and 30 km), which allowed to determine the features of the Kharkov agglomeration structure and the interaction of the settlements in the region by different radiuses of interaction, primary agglomerations, prospective growth points. On the basis of the obtained results of IIF modeling, the author's model of administrative and territorial division of Kharkiv region into eight enlarged districts was proposed, given the specific features of the settlement system and the correlation of area and population of the modeled administrative and territorial units. The scientifically grounded division of the region into enlarged districts (counties) and stimulation of their development will contribute to the most complete and rational use of the territories potential, increase of economic, human, investment potential, rise of the level and quality of life of the population, etc.

scholarly journals A chemometric approach for prediction of antifungal activity of some benzoxazole derivatives against Candida albicans

2012 ◽  
pp. 273-282 ◽  
Author(s):  
Sanja Podunavac-Kuzmanovic ◽  
Lidija Jevric ◽  
Strahinja Kovacevic ◽  
Natasa Kalajdzija
Keyword(s):  
Candida Albicans ◽  
Antifungal Activity ◽  
Clinical Importance ◽  
Quantitative Structure Activity Relationship ◽  
Statistical Parameters ◽  
Relationship Analysis ◽  
Calibration Models ◽  
Chemometric Approach ◽  
Leave One Out

The purpose of the article is to promote and facilitate prediction of antifungal activity of the investigated series of benzoxazoles against Candida albicans. The clinical importance of this investigation is to simplify design of new antifungal agents against the fungi which can cause serious illnesses in humans. Quantitative structure activity relationship analysis was applied on nineteen benzoxazole derivatives. A multiple linear regression (MLR) procedure was used to model the relationships between the molecular descriptors and the antifungal activity of benzoxazole derivatives. Two mathematical models have been developed as a calibration models for predicting the inhibitory activity of this class of compounds against Candida albicans. The quality of the models was validated by the leave-one-out technique, as well as by the calculation of statistical parameters for the established model.

Colourlab Image Database: Geometric Distortions

2021 ◽  
Vol 2021 (29) ◽  
pp. 258-263
Author(s):  
Marius Pedersen ◽  
Seyed Ali Amirshahi
Keyword(s):  
Image Quality ◽  
High Performance ◽  
Image Database ◽  
Quality Metrics ◽  
Current Image ◽  
Geometric Distortions ◽  
Image Quality Metrics ◽  
Objective Metrics ◽  
Reference Images

Over the years, a high number of different objective image quality metrics have been proposed. While some image quality metrics show a high correlation with subjective scores provided in different datasets, there still exists room for improvement. Different studies have pointed to evaluating the quality of images affected by geometrical distortions as a challenge for current image quality metrics. In this work, we introduce the Colourlab Image Database: Geometric Distortions (CID:GD) with 49 different reference images made specifically to evaluate image quality metrics. CID:GD is one of the first datasets which include three different types of geometrical distortions; seam carving, lens distortion, and image rotation. 35 state-ofthe-art image quality metrics are tested on this dataset, showing that apart from a handful of these objective metrics, most are not able to show a high performance. The dataset is available at <ext-link ext-link-type="url" xlink:href="http://www.colourlab.no/cid">www.colourlab.no/cid</ext-link>.

Learning to Acquire the Quality of Human Pose Estimation

2020 ◽  
pp. 1-1
Author(s):  
Lin Zhao ◽  
Jie Xu ◽  
Chen Gong ◽  
Jian Yang ◽  
Wangmeng Zuo ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Human Pose Estimation ◽  
Human Pose

Characteristics of statistical parameters used to interpret least-squares results.

1978 ◽  
Vol 24 (4) ◽  
pp. 611-620 ◽  
Author(s):  
R B Davis ◽  
J E Thompson ◽  
H L Pardue
Keyword(s):  
Experimental Data ◽  
Least Squares ◽  
Confidence Intervals ◽  
Standard Error ◽  
Statistical Parameters ◽  
Average Value ◽  
Data Points ◽  
Independent Variable ◽  
Highly Correlated

Abstract This paper discusses properties of several statistical parameters that are useful in judging the quality of least-squares fits of experimental data and in interpreting least-squares results. The presentation includes simplified equations that emphasize similarities and dissimilarities among the standard error of estimate, the standard deviations of slopes and intercepts, the correlation coefficient, and the degree of correlation between the least-squares slope and intercept. The equations are used to illustrate dependencies of these parameters upon experimentally controlled variables such as the number of data points and the range and average value of the independent variable. Results are interpreted in terms of which parameters are most useful for different kinds of applications. The paper also includes a discussion of joint confidence intervals that should be used when slopes and intercepts are highly correlated and presents equations that can be used to judge the degree of correlation between these coefficients and to compute the elliptical joint confidence intervals. The parabolic confidence intervals for calibration cures are also discussed briefly.

Video Matching by One-Dimensional PSNR Profile

2013 ◽  
Vol 479-480 ◽  
pp. 174-178
Author(s):  
Shi Wei Lo
Keyword(s):  
Image Quality ◽  
Video Sequence ◽  
Experimental Results ◽  
Video Sequences ◽  
Motion Feature ◽  
One Dimensional ◽  
Matching Process ◽  
Video Matching

This paper addresses a compact framework to matching video sequences through a PSNR-based profile. This simplify video profile is suitable to matching process when apply in disordered undersea videos. As opposed to using color and motion feature across the video sequence, we use the image quality of successive frames to be a feature of videos. We employ the PSNR quality feature to be a video profile rather than the complex contend-based analysis. The experimental results show that the proposed approach permits accurate of matching video. The performance is satisfactory on determine correct video from undersea dataset.

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