Search Results - (( frames selection based algorithm ) OR ( data distribution function algorithm ))
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1
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
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2
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…The variable block matching developed based on four stages which is the video and frame selection, threshold calculation, block size selection and search pattern. …”
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3
Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm
Published 2009“…Based on the plain aggregate approaches for transforming the objective vector in scalar, some modifications are proposed to assist designers in making decision on prioritizing between the frame stiffness and brace frame weight in their design.…”
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4
Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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5
Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. …”
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Book Section -
6
WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS
Published 2008“…The simulation was developed using SIMULINK and MATLAB. WaveletDCT based intra-frame coder was simulated by employing two different approaches. …”
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7
Frame selection based on modified entropy and object motion for secured data hiding in videos
Published 2021“…This research proposed a frame selection technique based on object motion and modified entropy in video steganography. …”
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8
A new stepsize for gradient method via weak secant equation
Published 2007“…The algorithm then selects the stepsizes along the negative gradient using a new approximation of the Hessian based on the weak secant equation. …”
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9
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Whenever an area with the similar characteristic is verified in the next frame, the area will be identified and bounded with a rectangle through the object recognition algorithm of the research. …”
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10
Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…The proposed SBD framework is based on the concept of candidate segment selection with frame active area and separable moments. …”
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11
Video surveillance: Item monitoring against theft
Published 2023“…After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application
Published 2022“…This paper analyzes selected grouping-based algorithms. Their underlining principles are discussed including their tag estimation methods. …”
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14
Adopting acknowledgment bitmap as an implicit indicator of the IEEE802.11n wireless network state
Published 2015“…In frame aggregation multiple frames are combined and then sent. …”
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15
Automated threshold detection for object segmentation in colour image
Published 2016“…The procedure starts with selection of optimal RGB channel. Then H(•) algorithm is applied for automated threshold detection to convert the image frames into grayscale image. …”
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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
Published 2018“…In the hierarchical Bayesian approach, the order and coefficients of the autoregressive model are assumed to have a prior distribution. The prior distribution is combined with the likelihood function to obtain a posterior distribution. …”
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17
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…Thereafter, a multi-objective hybrid algorithm (MOHA), an extension of the self-adaptive hybrid algorithm is proposed and tested on the established multi-objective (MO) test functions. …”
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18
A new Gompertz-three-parameter-lindley distribution for modeling survival time data
Published 2025“…The statistical properties of the proposed distribution including the shape properties, cumulative distribution, quantile functions, moment generating function, failure rate function, mean residual function, and stochastic orders are studied. …”
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Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
Published 2015“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The main contribution of this research is developing statistical approaches, and introducing new algorithms and resampling methods for analysing interval-censored data through AFT models.…”
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