JOURNAL ARTICLE

Fast motion estimation algorithm based on edge block detection and motion vector information

Abstract

Compared with previous standards, H.264/AVC adopts variable block size motion estimation (VBSME) and multiple reference frames (MRF) to improve the video quality. So full search motion estimation algorithm (FS) has to consume massive computation, to calculate every search point in the search window for every block type with multiple reference frame. Some mathematical analyses on edge block are presented in this paper. Moreover in most cases, search range for FS is fixed and large, which is not necessary for most cases. An adaptive search range scheme is provided in this paper. In summary, two fast VBSME algorithms are proposed in this paper: 1) subsampling method based on the block edge information is applied 2) adaptive search range based on motion vector information is utilized. Experiments demonstrate that combing our proposed algorithms with UMHS almost saves 92%- 98% integer motion estimation (IME) time compared with exhaustive search with only less than 0.5% bitrate increase or 0.04 db PSNR decline.

Keywords:
Motion estimation Motion vector Quarter-pixel motion Block (permutation group theory) Computer science Block-matching algorithm Algorithm Search algorithm Reference frame Computer vision Enhanced Data Rates for GSM Evolution Computation Range (aeronautics) Inter frame Artificial intelligence Frame (networking) Mathematics Image (mathematics) Video processing Video tracking

Metrics

6
Cited By
1.55
FWCI (Field Weighted Citation Impact)
7
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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