A new block matching algorithm based on stochastic fractal search

Betka, Abir; Terki, Nadjiba; Toumi, Abida; Hamiane, Madina; Ourchani, Amina

doi:10.1007/s10489-018-1312-1

Cited by 11 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SFS algorithm starts the search, as in all the other meta-heuristics, using Equation (9) to randomly generate candidate solutions in the search space [23]:…”

Section: Sfs Methodsmentioning

confidence: 99%

Stability and Stabilization of TS Fuzzy Systems via Line Integral Lyapunov Fuzzy Function

et al. 2022

Self Cite

View full text Add to dashboard Cite

This paper is concerned with the stability and stabilization problem of a Takagi-Sugeno fuzzy (TSF) system. Using a non-quadratic function (well-known integral Lyapunov fuzzy candidate (ILF)) and some lemmas, new sufficient conditions are established as linear matrix inequalities (LMIs), which are solved with a stochastic fractal search (SFS). The main advantage of the technique used is its small conservatives. Motivated by the mean value theorem, a state feedback controller based on a non-quadratic Lyapunov function is designed. Unlike other approaches based on poly-quadratic Lyapunov candidates, stability conditions of the closed loop are obtained in LMI regions. It is important to highlight that the time derivatives of membership functions do not appear in the used line integral Lyapunov function, which is the well-known problem of poly-quadratic Lyapunov functions. A numerical example is given to show the advantages and the utility of the integral Lyapunov fuzzy candidate, which provides a wider feasibility region than other Lyapunov functions.

show abstract

“…The SFS algorithm starts the search, as in all the other meta-heuristics, using Equation (9) to randomly generate candidate solutions in the search space [23]:…”

Section: Sfs Methodsmentioning

confidence: 99%

Stability and Stabilization of TS Fuzzy Systems via Line Integral Lyapunov Fuzzy Function

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The lowest calculated SAD fitness candidate is selected for the best matches. Due to the fact that all of the search candidates are assessed in full search, based on full search, Motion Estimation yields the optimal solution [6]. Even though a full search provides explicit results, it needs a large amount of computation [7].…”

Section: Normal Full Search Algorithm (Nfs)mentioning

confidence: 99%

Utilizing Motion Direction of Video Capturing Satellites for Complexity Reduction in Video Compressor Block-Matching Techniques

Bayat,

Rongke,

Zarrini

2024

Preprint

View full text Add to dashboard Cite

This paper aims to define how to combine satellite motion direction in Video Compressor Block-Matching algorithms. In this study, three objectives were identified: unveiling the existence of the problem by evidence-gathering, proposing a preliminary satellite design for video-capturing missions, and using the motion pattern of a satellite. To satisfy the first research objective, videos of Earth and other celestial bodies were selected, and the validity of this claim was evaluated. The alignment of the direction of satellite motion with the motion vectors can be clearly recognized. In all cases, except for one case, the motion vectors of the selected videos were shown to be more than 80%. Investigations determined that the review of the divisions of the Regions and appropriate selection of the boundaries of the Regions can produce more acceptable results for the video whose dominated motion vectors are divided into two different Regions. To satisfy the second objective, which is defined as creating the necessary changes in the design of satellites that have the mission of capturing videos of the celestial bodies, a conceptual design was presented in which the path of receiving the motion directions from the satellite platform to the payload was specified. Here, two modes were proposed: Normal and Proposed. In future rounds, this information can be used to reduce the amount of motion estimation calculations and complexity.

show abstract

“…Application examples of SFS in control systems are presented in (Çelik 2018;Çelik and Gör 2019;Bhatt et al 2019). Motion estimation based on SFS was presented in (Betka et al 2019). In medical field, the SFS was used for image thresholding problem on breast histology imagery (Hinojosa et al 2018).…”

Section: Applications Of Sfs Algorithmmentioning

confidence: 99%

Application of the stochastic fractal search algorithm and compromise programming to combined heat and power economic–emission dispatch

Alomoush

2019

Engineering Optimization

View full text Add to dashboard Cite

A new block matching algorithm based on stochastic fractal search

Cited by 11 publications

References 26 publications

Stability and Stabilization of TS Fuzzy Systems via Line Integral Lyapunov Fuzzy Function

Stability and Stabilization of TS Fuzzy Systems via Line Integral Lyapunov Fuzzy Function

Utilizing Motion Direction of Video Capturing Satellites for Complexity Reduction in Video Compressor Block-Matching Techniques

Application of the stochastic fractal search algorithm and compromise programming to combined heat and power economic–emission dispatch

Contact Info

Product

Resources

About