The influence of interlacing on source coding efficiency and motion estimation

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.

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Self-derivation of motion estimation techniques to improve video coding efficiency

10.1117/12.862719 ◽

2010 ◽

Cited By ~ 1

Author(s):

Yi-jen Chiu ◽

Lidong Xu ◽

Wenhao Zhang ◽

Hong Jiang

Keyword(s):

Motion Estimation ◽

Video Coding ◽

Estimation Techniques ◽

Coding Efficiency

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An Efficient Hardware-Oriented Algorithm of Spatial Motion Vector Prediction for AVS HD Video Encoder

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.4365 ◽

2014 ◽

Vol 556-562 ◽

pp. 4365-4371

Author(s):

Ming Hui Yang ◽

Xiao Dong Xie

Keyword(s):

Motion Estimation ◽

Motion Vector ◽

Spatial Motion ◽

Coding Efficiency ◽

Multi Stage ◽

Macro Block ◽

Optimal Coding ◽

Adjacent Block ◽

Left Block ◽

Motion Vector Prediction

Motion Vector Prediction (MVP) plays an important role in improving coding efficiency in HEVC, H.264/AVC and AVS video coding standard. MVP is implemented by exploiting redundancy of adjacent-block optimal coding information under the constraint that MVP must be performed in a serial way. The constraint prevents parallel processing and MB pipeline based on LevelC+. In multi-stage pipeline, to some extent, adjacent-block best mode-decision information can hardly be obtained. In this paper, we propose a new hardware-oriented method to improve the coding performance at a cost of few hardware resources. When adjacent block is not available, spatial motion vector prediction (SMVP) for integer motion estimation (IME) and fraction motion estimation (FME) will take the IME best mode information and FME best mode information of left block as best information to derive PMV (Predicted Motion Vector) for current macro-block or block. Experimental results shows that the method we propose can achieve a better performance than the existing methods by 0.1db for the cases with intense movement and a non-degrading performance for flat cases.

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Low-Complexity Encoding in Block-Based Hybrid Video Codecs by Moving Motion Estimation to Decoder Side

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/ijaras.2014010102 ◽

2014 ◽

Vol 5 (1) ◽

pp. 19-29

Author(s):

J. Karlsson

Keyword(s):

Motion Estimation ◽

Video Coding ◽

Low Complexity ◽

Motion Prediction ◽

Motion Vectors ◽

Video Codecs ◽

Coding Efficiency ◽

Coding Scheme ◽

Network Delays ◽

Block Based

In this paper the authors present an approach to provide efficient low-complexity encoding for the block-based video coding scheme. The authors present a method based on removing the most time-consuming task, that is motion estimation, from the encoder. Instead the decoder will perform motion prediction based on the available decoded frame and send the predicted motion vectors to the encoder. The results presented are based on a modified H.264 implementation. The results show that this approach can provide rather good coding efficiency even for relatively high network delays.

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