Book Chapter10.1007/978-3-030-03146-6_21
An Improved Block-Based Motion Estimation Algorithm for Compressing a Video
Ajay Mathur,Rahul Bhandari,Amit Mishra +2 more
- 07 Aug 2018
- pp 207-212
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TL;DR: Improved technique of quick block-matching algorithm that is easy and economical as compared to Diamond Search (DS) and Adaptive-Rood-Pattern Search algorithm is proposed.
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Abstract: Motion Estimation (ME) is curial of every video compression standards which involve time consuming and high level computations. In this research paper, we’ve got proposed improved technique of quick block-matching algorithm that is easy and economical as compared to Diamond Search (DS) and Adaptive-Rood-Pattern Search algorithm.
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Citations
Improved Pattern of Adaptive Rood-Pattern Search Algorithm for Motion Estimation in Video Compression
Rahul Reddy Nadikattu,Rahul Bhandari,Pawan Whig +2 more
- 01 Jan 2021
TL;DR: In this article, an improved version of pattern in Adaptive Rood-Pattern Search (ARPS) algorithm for estimating a motion to compress a video is presented which is comprised of Rectangular Shaped Search (RSS) Pattern which gives better results which are based on number of computational points for searching pattern as well as PSNR values.
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Developing new search pattern in fast motion estimation algorithm used for compress a video
TL;DR: New pattern i.e. rectangular search pattern used in place of diamond search pattern in block-based motion estimation algorithm is used and the performance can be measured in terms of number of points searching in searching area per macro-block and quality of video by using PSNR value.
5
Improved Hybrid Block-Based Motion Estimation for Inter-frame Coding
Yusra Ahmed Salih,Loay E. George +1 more
TL;DR: In this paper, a new block-based motion estimation (BME) algorithm is proposed to reduce the coding process's computational complexity, which is based on the primary search point prediction and advance ending search point strategies.
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Design and Analysis of Novel searching pattern in motion estimation used for video compression
Rahul Bhandari,Amit Vajpayee,Ravi Kumar,Daulat Sihag +3 more
- 06 Jul 2023
TL;DR: A proposed searching pattern was developed in this research work to employ in collaboration with a fast block-based motion estimation technique, which reveals that the suggested pattern decreases search spots while boosting the accuracy of motion vectors.
4
Machine Learning Classification Techniques to investigate Parkinson's disease
11 Apr 2023
TL;DR: In this paper , a machine learning algorithm was used to identify Parkinson's disease through the distinction along with analysis of the speech signal, and the best results were examined, and it was determined that this study offers similar and better results.
1
References
A new diamond search algorithm for fast block-matching motion estimation
Shan Zhu,Kai-Kuang Ma +1 more
TL;DR: Experimental results show that the proposed diamond search (DS) algorithm is better than the four-step search (4SS) and block-based gradient descent search (BBGDS), in terms of mean-square error performance and required number of search points.
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Adaptive rood pattern search for fast block-matching motion estimation
Yao Nie,Kai-Kuang Ma +1 more
TL;DR: The search speed of the proposed ARPS-ZMP is about two to three times faster than that of the diamond search (DS), and the method even achieves higher peak signal-to-noise ratio (PSNR) particularly for those video sequences containing large and/or complex motion contents.
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Adaptive block matching motion estimation algorithm using bit-plane matching
Jian Feng,Kwok-Tung Lo,H. Mehrpour,A.E. Karbowiak +3 more
- 23 Oct 1995
TL;DR: A new matching criterion called bit-plane matching (BPM) for distance measurement in the block matching algorithm is proposed that not only considers the magnitude but also the directive information of the pixel elements in theBlock matching algorithm.
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Fast motion estimation for H.264
TL;DR: A fast ME algorithm is proposed to reduce the computational complexity, using a mode discriminant method to free the encoder from checking the small block size modes in homogeneous regions and a condensed hierarchical block matching method and a spatial neighbor searching scheme to find the best full-pixel motion vector.
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