Analysis and Implementation of MPEG-4 Motion Codec

2012 ◽  
Vol 268-270 ◽  
pp. 1667-1670
Author(s):  
Yun Peng Liu ◽  
Ren Fang Wang ◽  
Jin Li
Keyword(s):  
Motion Estimation ◽  
Motion Compensation ◽  
Block Matching ◽  
Modified Block

Motion codec is the key technique of MPEG-4 VM. The motion encoding and decoding use “Unrestricted Motion Estimation”, “Advanced Prediction”, “Overlapped Motion Compensation”, in addition, the particular “Repetitive Padding”, and “Modified Block Matching “ are added for MPEG-4. At the same time, some questions during motion are explained carefully, and some new viewpoints are brought forward.

scholarly journals Literature survey on motion estimation techniques

2018 ◽  
Vol 7 (2.12) ◽  
pp. 394
Author(s):  
S Mahaboob Basha ◽  
M Kannan
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Motion Compensation ◽  
Literature Survey ◽  
Block Matching ◽  
Estimation Techniques ◽  
Compression Performance ◽  
Diamond Search ◽  
Full Search

Motion Estimation (ME) is one of the most intensive computational operations in video compression techniques. Video compression algo-rithm utilizes numerous standards such as MPEG1, MPEG4 AND H.261, H.264. Compression performance can be increased drastically by efficient motion estimation techniques by which energy is reduced within the residual frames involved in motion compensation. In this paper literature survey of motion estimation especially considering block matching ME (Motion Estimation). In this paper, comparison is made between the already existing block matching algorithms and their limitations in motion estimation along with their applications. Many algorithms including Three Step Search (TSS), Improved Three Step Search (ITSS), New Three Step Search (NTSS), Four Step Search (4SS), Diamond Search (DS), Flexible Triangle Search(FTS), Full Search(FS), Modified Full Search(MDF) are compared and their per-formance measures are discussed in this paper.  

scholarly journals A New Block Matching Algorithm for Motion Estimation

2016 ◽  
Vol 855 ◽  
pp. 178-183 ◽  
Author(s):  
Chia Ming Wu ◽  
Jen Yi Huang
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Motion Compensation ◽  
Video Processing ◽  
Motion Vector ◽  
Block Matching ◽  
Matching Algorithm ◽  
Block Matching Algorithm ◽  
Fast Motion ◽  
Better Than

Motion estimation has been the most key role on video processing. It is usually applied to block matching algorithm for choosing the best motion vector. The two adjacent images are searched to find the displacement of the same object in the video image. Many fast motion vector block matching algorithms are proposed, and they achieve the efficiency of motion compensation and video compression. In our paper, we propose a new algorithm that is based on ARPS. The experimental results show that the PSNR of the proposed method is better than that of other block matching methods on many kinds of video.

Adaptive Return Prediction Block Matching Algorithms for Video Coding

2011 ◽  
Vol 145 ◽  
pp. 277-281
Author(s):  
Vaci Istanda ◽  
Tsong Yi Chen ◽  
Wan Chun Lee ◽  
Yuan Chen Liu ◽  
Wen Yen Chen
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Web Site ◽  
Motion Vector ◽  
Temporal Correlation ◽  
Block Matching ◽  
Asynchronous Learning ◽  
Learning And Teaching ◽  
Block Motion ◽  
Reconstruction Image

As the development of network learning, video compression is important for both data transmission and storage, especially in a digit channel. In this paper, we present the return prediction search (RPS) algorithm for block motion estimation. The proposed algorithm exploits the temporal correlation and characteristic of returning origin to obtain one or two predictive motion vector and selects one motion vector, which presents better result, to be the initial search center. In addition, we utilize the center-biased block matching algorithms to refine the final motion vector. Moreover, we used adaptive threshold technique to reduce the computational complexity in motion estimation. Experimental results show that RPS algorithm combined with 4SS, BBGDS, and UCBDS effectively improves the performance in terms of mean-square error measure with less average searching points. On the other hand, accelerated RPS (ARPS) algorithm takes only 38% of the searching computations than 3SS algorithm, and the reconstruction image quality of the ARPS algorithm is superior to 3SS algorithm about 0.30dB in average overall test sequences. In addition, we create an asynchronous learning environment which provides students and instructors flexibility in learning and teaching activities. The purpose of this web site is to teach and display our researchable results. Therefore, we believe this web site is one of the keys to help the modern student achieve mastery of complex Motion Estimation.

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