Comparison of block-based and mesh-based motion estimation algorithms

2002 ◽  
Author(s):  
Yao Wang ◽  
J. Ostermann
Keyword(s):  
Motion Estimation ◽  
Estimation Algorithms ◽  
Block Based

scholarly journals A Complexity and Quality Evaluation of Block Based Motion Estimation Algorithms

10.14311/668 ◽  
2005 ◽  
Vol 45 (1) ◽  
Author(s):  
S. Usama ◽  
M. Montaser ◽  
O. Ahmed
Keyword(s):  
Performance Evaluation ◽  
Motion Estimation ◽  
Video Compression ◽  
Quality Evaluation ◽  
Point Of View ◽  
Video Sequences ◽  
Compression Algorithms ◽  
Estimation Algorithms ◽  
Block Based ◽  
A Performance

Motion estimation is a method, by which temporal redundancies are reduced, which is an important aspect of video compression algorithms. In this paper we present a comparison among some of the well-known block based motion estimation algorithms. A performance evaluation of these algorithms is proposed to decide the best algorithm from the point of view of complexity and quality for noise-free video sequences and also for noisy video sequences. 

Block-based motion estimation algorithms — a survey

2013 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Jakubowski ◽  
G. Pastuszak
Keyword(s):  
Computational Complexity ◽  
Motion Estimation ◽  
Video Coding ◽  
Extensive Review ◽  
Matching Criterion ◽  
Estimation Algorithms ◽  
Standard Block ◽  
Block Based ◽  
Full Search

AbstractIn the multi-view video coding, both temporal and inter-view redundancies can be exploited by using standard block-based motion estimation (BBME) technique. In this paper, an extensive review of BBME algorithms proposed within the last three decades is presented. Algorithms are divided into five categories: 1) based on the search position number reduction; 2) multiresolution; 3) based on the simplification of matching criterion; 4) fast full search; 5) computation-aware. Algorithms are compared in terms of their efficiency and computational complexity.

scholarly journals Block Based Motion Estimation Algorithms: Analysis

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Processing ◽  
Search Algorithm ◽  
Video Sequences ◽  
Estimation Process ◽  
Estimation Algorithms ◽  
Block Based ◽  
Temporal Redundancy ◽  
Full Search

several video coding standards and techniques have been introduced for multimedia applications, particularly h.26x series for video processing. These standards employ motion estimation process in order to reduce the amount of data that is required to store or transmit the video. Motion estimation process is an inextricable part of the video coding as it removes the temporal redundancy between successive frames of video sequences. This paper is about these motion estimation algorithms, their search procedures, complexity, advantages, and limitations. A survey of motion estimation algorithms including full search algorithm, many fast search and fast full search block based algorithms has been presented. An evaluation of up to date motion estimation algorithms, based on a number of empirical results on several test video sequences, is presented as well.

A MULTILEVEL DISTORTION MEASURE FOR BLOCK BASED MOTION ESTIMATION USING INTEGRAL FRAMES

2013 ◽  
Vol 22 (02) ◽  
pp. 1250084
Author(s):  
R. K. PURWAR ◽  
NAVIN RAJPAL
Keyword(s):  
Motion Estimation ◽  
Poor Quality ◽  
Block Matching ◽  
Video Data ◽  
Absolute Difference ◽  
Matching Criterion ◽  
Estimation Algorithms ◽  
Block Motion ◽  
Distortion Measure ◽  
Block Based

Motion estimation is used to remove interpixel redundancy in video data and block based motion estimation algorithms are widely used for it. Computation in these algorithms is reduced by limiting the number of candidate search points within the search window or simplifying the distortion measurement criterion. In literature, there are integral frame based block motion estimation algorithms which drastically reduce computation cost. However, these algorithms have a serious drawback of spurious block matching possibility, leading to poor quality results. In this manuscript, a multilevel block matching criterion based on integral frame concept is proposed to minimize this drawback. Experimental results show that an increase up to 12% in terms of PSNR (dB) has been achieved than integral frame based sum of absolute difference block sum criterion (SAD_BS) with almost same execution time. Further, in terms of [Formula: see text] ratio, proposed method has 25–26% gain over SAD_BS.

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