scholarly journals Advances in Motion Detection and Tracking of Human as a Target

2019 ◽  
Vol 8 (11) ◽  
pp. 3470-3473
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Video Processing ◽  
Image Data ◽  
Image Sequences ◽  
Stereo Correspondence ◽  
Image Domain ◽  
Motion Patterns ◽  
Estimation Algorithms ◽  
Detection And Tracking

Motion estimation of a target is the major area with higher computational complexity in video processing. It is the progression of discovery the motion patterns that describe the transformation from one frame to another in a sequence of video. Therefore, it is reasonable to carry out motion estimation only where movement is present. Image data in an image series remains mostly the same between frames along the target motion. To make use of the image statistics redundancy in image sequences, there is a need to guess motion. Motion estimation is valid for video compression improvement, stereo correspondence, object tracking and finding optical flow. Many precise methods have been proposed in the framework of one or more of these applications. Most motion estimation algorithms either operate directly in the image domain or finding the similar metric that measures how alike two pixels or two patches of pixels. In this paper, a review of a variety of motion estimation technique is presented

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. 

Improvements on Motion Estimation Algorithms in Video Coding for H.264/AVC

2013 ◽  
Vol 756-759 ◽  
pp. 3455-3460
Author(s):  
Xiao Li Wang ◽  
Long Zhao
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Real Time ◽  
Video Compression ◽  
Motion Vector ◽  
Coding Efficiency ◽  
Estimation Algorithms ◽  
Whole Process ◽  
Motion Activity ◽  
Precision Motion

Motion estimation is the most important step in video compression. By using high precision motion vector in the H.264 encoder, the calculation is rapidly increased, but in the whole process of coding, motion estimation occupies about 80%. Although many motion estimation algorithms have been proposed to reduce the computational complexity of motion estimation, it still cannot meet the strict real-time demand. In this paper, based on the analysis of UMHexagonS algorithm, dynamic searching window is chosen in the UMHexagonS algorithm, then according to the motion activity, it uses different template to reduce the motion estimation time and improve video coding efficiency. Proved by the experiments on various test sequences, compared with the UMHexagonS algorithm, the motion estimation time of the proposed algorithm average saves 17.7525% in the case of the quality of the reconstructed image and rate close. It not only reduces the complexity of the algorithm, but also improves the real-time performance of the encoder.

Motion Estimation Algorithms for Video Compression

1997 ◽  
Author(s):  
Borko Furht ◽  
Joshua Greenberg ◽  
Raymond Westwater
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Estimation Algorithms

An Improved Approach of Block Matching Algorithm for Motion Vector Estimation

2018 ◽  
Vol 8 (1) ◽  
pp. 38-56 ◽  
Author(s):  
Shailesh D. Kamble ◽  
Sonam T. Khawase ◽  
Nileshsingh V. Thakur ◽  
Akshay V. Patharkar
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Motion Vector ◽  
Real Life ◽  
Computation Time ◽  
Block Matching ◽  
Video Encoding ◽  
Compression Technique ◽  
Block Matching Algorithm ◽  
Estimation Algorithms

Motion estimation has traditionally been used in video encoding only, however, it can also be used to solve various real-life problems. Nowadays, researchers from different fields are turning towards motion estimation. Motion estimation has become a serious problem in many video applications. It is a very important part of video compression technique and it provides improved bit rate reduction and coding efficiency. The process of motion estimation is used to improve compression quality and it also reduces computation time. Block-based motion estimation algorithms are used as they require less memory for processing of any video file. It also reduces the complexity involved in computations. In this article, various block-matching motion estimation algorithms are discussed such as Full search (FS) or Exhaust Search, Three-Step search (TSS), New Three-Step search (NTSS), Four-Step search (FSS), Diamond search (DS) etc.

scholarly journals Review on Architectures of Motion Estimation for Video Coding Standards

2018 ◽  
Vol 7 (4.10) ◽  
pp. 928
Author(s):  
Prayline Rajabai C ◽  
Sivanantham S
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Compression ◽  
Video Data ◽  
Video Codec ◽  
Current Frame ◽  
Estimation Algorithms ◽  
Hardware Architectures ◽  
Coding Standards ◽  
Extensive Computation

Various video coding standards like H.264 and H.265 are used for video compression and decompression. These coding standards use multiple modules to perform video compression. Motion Estimation (ME) is one of the critical blocks in the video codec which requires extensive computation. Hence it is computationally complex, it critically consumes a massive amount of time to process the video data. Motion Estimation is the process which improves the compression efficiency of these coding standards by determining the minimum distortion between the current frame and the reference frame. For the past two decades, various Motion Estimation algorithms are implemented in hardware and research is still going on for realizing an optimized hardware solution for this critical module. Efficient implementation of ME in hardware is essential for high-resolution video applications such as HDTV to increase the decoding throughput and to achieve high compression ratio. A review and analysis of various hardware architectures of ME used for H.264 and H.265 coding standards is presented in this paper.  

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