Combining Dynamic Search Range with Improved Normalized Partial Distortion Search for Fast Motion Estimation Algorithm in Video Coding
Autor: | Zhi-Xiong Xu, 許智雄 |
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Rok vydání: | 2012 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 100 H.264/AVC is JVT video coding standard developed by a good video coding efficiency, in recent years, with the network bandwidth improvements, and advances in technology, multimedia products and services continued to emerge, such as video telephone, on-demand video system (VOD), video conferencing, high-definition digital television (HDTV), etc.. All need a good video compression standards support in the H.264/AVC encoder architecture. Motion estimated (ME) is the compression of the entire video, accounted for the largest amount of computation, this thesis has proposed a new motion estimation algorithm to reduce number of search points in motion estimation algorithm maintaining a certain visual quality. This study has by analyzed a variety of fast motion estimation algorithms. Normalized Partial Distortion Search(N PDS) algorithm is one of algorithm with better coding performance. However, NPDS in the block matching search points of order and arrangement are fixed, can not be the basis of each depending characteristics of the information screen to arrange the search order, this study proposes to combine dynamic search partial distortion search video coding fast motion estimation algorithm. This method is based on various video picture characteristics of video encoding, video screen different pixels to calculate the arrangement, based on changes in the characteristics of the screen and motion vectors of adjacent blocks to adjust the distribution range of the search window. Compare to the proposed algorithm. Experimental results show that this study can efficiently reduce video encoding of search points, and to maintain a certain video quality. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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