Performance evaluation of block-based motion estimation algorithms and distortion measures

Author(s):  
S.R. Subramanya ◽  
H. Patel ◽  
I. Ersoy
10.14311/668 ◽  
2005 ◽  
Vol 45 (1) ◽  
Author(s):  
S. Usama ◽  
M. Montaser ◽  
O. Ahmed

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. 


2013 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Jakubowski ◽  
G. Pastuszak

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.


2020 ◽  
Vol 14 ◽  

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.


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