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1
Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB
Published 2010“…In recent years, many of these BMAs have been developed with similar intention of reducing the computational costs while at the same time maintaining the video signal quality. In this paper, an algorithm called Hexagon-Diamond Search (HDS) is proposed for ME where the algorithm and several fast BMAs, namely Three Step Search (TSS), New Three Step Search (NTSS), Four Step Search (4SS) as well as Diamond Search (DS), are first selected to be implemented onto various type of standard test video sequence using MATLAB before their performances are compared and analyzed in terms of peak signal-to-noise ratio (PSNR), number of search points needed as well as their computational complexity. …”
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2
Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010“…In recent years, many of these BMAs have been developed with similar intention of reducing the computational costs while at the same time maintaining the video signal quality. In this paper, an algorithm called Hexagon-Diamond Search (HDS) is proposed for ME where the algorithm and several fast BMAs, namely Three Step Search (TSS), New Three Step Search (NTSS), Four Step Search (4SS) as well as Diamond Search (DS), are first selected to be implemented onto various type of standard test video sequence using MATLAB before their performances are compared and analyzed in terms of peak signal-to-noise ratio (PSNR), number of search points needed as well as their computational complexity. …”
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3
Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…This paper aims to compare the performance of two metaheuristic algorithms which are Jaya Algorithm (JA) and Cuckoo Search (CS) using some common benchmark functions. …”
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4
Analysis of Dijkstra’s and A* algorithm to find the shortest path
Published 2015“…The experimental result showed the search time of A* algorithm is faster than Dijkstra’s algorithm with average value 466ms and the distance is same of the both of algorithms.…”
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5
An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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Performance analysis of block matching algorithms in motion estimation
Published 2010“…One of ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. …”
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7
Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim
Published 2002“…One of the well-known conflation algorithms, stemming, is only used to identify morphological variants. …”
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8
Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…The natural evolution optimization algorithm which is genetic algorithm can be improve by combining the nature meta-heuristic algorithms which is bald eagle search to improve the makespan of genetic algorithm using cloudsim that need to be implement on the eclipse platform. …”
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Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar
Published 2001“…One of well-known conflation methods is stemming algorithms, where it is used to identify morphological variants. …”
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10
VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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11
Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling
Published 2010“…The major thrust of this algorithm lies in its ability to integrate the key components of populationbased methods and local search-based methods in the same optimisation model. …”
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12
An empirical study of double-bridge search move on subset feature selection search of bees algorithm
Published 2017“…The algorithm performs combination of exploitative neighbourhoods and random explorative search. …”
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13
Hybridizing harmony search with local search based metaheuristic for solving curriculum based university course timetabling / Juliana Wahid
Published 2017“…Harmony search algorithm (HSA) is a population-based metaheuristic optimization algorithm that imitates the music improvisation process where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. …”
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14
A new algorithm to measure relevance among Web pages
Published 2006“…A related Web page is one that addresses the same topic as the original page. Here, the proposed algorithm first uses only the connectivity information in the Web (i.e., the links between pages) and then the content of pages. …”
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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…This thesis aims to solve these problems using an efficient metaheuristic algorithm, known as the Harmony Search (HS) algorithm. …”
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16
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…Overall, the developed algorithms have similar PSNR value and lower average search point compared to superior algorithms. …”
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Cuckoo Search Approach for Cutting Stock Problem
Published 2015“…Cuckoo Search Algorithm is selected because it is a new algorithm and outperforms many algorithms. …”
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Optimizing B-tree search performance of big data sets / Mohsen Marjani
Published 2017“…Repetition of search tasks for later queries with same or overlap conditions causes repeating same algorithmic traverse and consuming same resources including time and computation power in order to retrieve the result of the search process. …”
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A Hybrid Least Squares Support Vector Machine with Bat and Cuckoo Search Algorithms for Time Series Forecasting
Published 2020“…Hence, to enhance the search ability of Cuckoo Search, it is integrated with Bat algorithm that offers a balanced search between global and local. …”
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