scholarly journals Decoder-Side Motion Estimation Assuming Temporally or Spatially Constant Motion

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Sven Klomp ◽  
Marco Munderloh ◽  
Jörn Ostermann
Keyword(s):  
Motion Estimation ◽  
Motion Compensation ◽  
Video Sequence ◽  
Interpolation Method ◽  
Motion Vector ◽  
Combined Approach ◽  
Rate Reduction ◽  
Compression Efficiency ◽  
Coding Standards ◽  
Block Based

In current video coding standards, the encoder exploits temporal redundancies within the video sequence by performing block-based motion compensated prediction. However, the motion estimation is only performed at the encoder, and the motion vectors have to be coded explicitly into the bit stream. Recent research has shown that the compression efficiency can be improved by also estimating the motion at the decoder. This paper gives a detailed description of a decoder-side motion estimation architecture which assumes temporal constant motion and compares the proposed motion compensation algorithm with an alternative interpolation method. The overall rate reduction for this approach is almost 8% compared to H.264/MPEG-4 Part 10 (AVC). Furthermore, an extensive comparison with the assumption of spatial constant motion, as used in decoder-side motion vector derivation, is given. A new combined approach of both algorithms is proposed that leads to 13% bit rate reduction on average.

Research on a Kind of Quick Background Motion Compensation Algorithm Based on BRISK Operator

2014 ◽  
Vol 668-669 ◽  
pp. 1178-1181 ◽  
Author(s):  
Yan Min Lei ◽  
Zhi Bin Feng ◽  
Shu Jiao Ji ◽  
Xiao Xue Xing
Keyword(s):  
Real Time ◽  
Motion Compensation ◽  
Video Sequence ◽  
Interpolation Method ◽  
Motion Vector ◽  
Least Square Method ◽  
Least Square ◽  
Compensation Algorithm ◽  
Time Problem ◽  
Background Motion

In order to solve the real-time problem in the background motion compensation in video sequence, a kind of quick background motion compensation algorithm based on BRISK operator has been proposed in this paper. Firstly, feature points of two adjacent frames images was extracted and matched by using BRISK operator. Secondly, the motion vector of the neighboring frames images was calculated by using the least square method (LSM). Lastly, the video sequences were compensated by using bilinear interpolation method. The simulation results show that real-time can arrive at ms grade and meet the requirement of background motion compensation.

The Improve of HFPS Algorithm in AVS Video Coding

2012 ◽  
Vol 457-458 ◽  
pp. 867-871
Author(s):  
Xi Nan Zhang ◽  
Ai Lin Liu
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Sequence ◽  
Search Algorithm ◽  
Motion Vector ◽  
Video Sequences ◽  
The Law ◽  
Motion Characteristics ◽  
Algorithm Search ◽  
Improved Algorithm

To reduce the complexity of AVS sub-pixel motion vector search, this paper proposes a new improved algorithm based on little diamond window searching policies according to the law of the general video sequence motion vector focusing on the near of the initial searching point at the time of the subpixel motion estimation on the basis of deeping analysis to HFPS algorithm. Comparing with the sub-pixel HFPS algorithm search algorithm, the time of sub-pixel motion estimation can reduce 51.97％ on average and efficiently decrease the computational number of sub-pixel motion estimation on average PSNR lost less than 0.01dB to the video sequences with different motion characteristics.

The Improvement of UMHexagonS Algorithm in AVS Video Coding

2012 ◽  
Vol 457-458 ◽  
pp. 819-824
Author(s):  
Xi Nan Zhang ◽  
Yan Jun Gong
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Sequence ◽  
Motion Vector ◽  
Motion Feature ◽  
Adaptive Adjustment ◽  
Search Template ◽  
Calculated Amount

To reduce the complexity of AVS pixel motion vector search, this paper proposes a improved AVS pixel motion estimation UMHexagonS algorithm. The algorithm adds the improve of advanced new array and adaptive adjustment search template. To the video sequence of different motion feature, compare with UMHexagonS algorithm, in the case of mean PSNR descend less than 0.01dB and bitrate only mean increase 0.54％, the time of pixel motion estimation is reduced by 8.72％～20.25％ and the calculated amount of pixel motion estimation is also reduced.

scholarly journals Active Mesh Based Motion Compensation Algorithm for Video Compression in Wavelet Sub Bands

2019 ◽  
Vol 8 (6) ◽  
pp. 1812-1817
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Motion Compensation ◽  
Motion Vector ◽  
Motion Vectors ◽  
Energy Functions ◽  
Mesh Motion ◽  
Compensation Algorithm ◽  
Original Frame ◽  
Performance Rate

The method of assessing the motion vectors is termed as Motion Estimation and consequently reconstructing the original frame using these motion vectors is termed as Motion Compensation. In this paper a new active mesh based Motion estimation and compensation algorithm in wavelet domain at subpixel level is proposed. To achieve the accuracy in estimating the motion vector from reference frame to predicted frame in sub pixel level a Wavelet based Counterlet transform is used. This new mesh based method is based by minimizing the mesh energy with energy functions as its input coefficients. The accuracy of the estimation and the compensation is improved by the feature points obtained by the energy functions. The analysis of the experimental results describes that there is improvement in the distortion of the performance rate for the video compression and this is achieved by the generation of the structured and the unstructured active mesh motion techniques in the wavelet sub-bands. The energy criteria of the input coefficients helps to retain the energy in the sub-bands which is a condition that helps in significant gaining of the PSNR required for better outcome.

scholarly journals Low Power Oriented Full Search Block Based Motion Estimation (LP-FSBME) Architecture Using Power Efficient Adder Compressor For H.265 Coding Techniques.

2019 ◽  
Vol 9 (1S) ◽  
pp. 67-71
Keyword(s):  
Motion Estimation ◽  
Low Power ◽  
Video Coding ◽  
High Efficiency ◽  
Video Quality ◽  
Motion Vector ◽  
Absolute Difference ◽  
Power Efficient ◽  
Block Based ◽  
Full Search

H.265 coding is known as HIGH efficiency video coding (HEVC). This is most successful video compression standard and extended from H.264/MPEG-4 advanced video coding (AVC) for same level of video quality. However, H.265 improved better video quality for same bit rate. In video coding, motion estimation (ME) is determined the motion vector from adjacent frames. Various algorithms have been introduced by many researchers to accomplish low power oriented ME. However, low power oriented full search block based motion estimation (LP-FSBME) algorithm gives accurate results. Architecture of sum of absolute difference (SAD) is used an adder tree to accumulate the processing elements. Power efficient 16:2 adder compressors in SAD architecture reduce the power dissipation rather than convention adders in SAD architecture. The hardware implementation of proposed method is done in Xilinx Virtex 7 FPGA XC7VX1140T device with speed grade 1 in Xilinx software version 14.5 tool, developed in Verilog Hardware Description Language (Verilog-HDL), and simulated in ISE simulator for tennis, BQ terrace and Kimono videos with the resolution of 1080x720 pixels with 30fps.

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.

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