Paper
14 August 2019 Survey on block-based motion estimation for frame rate conversion
Di Zhang, Qian Huang, Yiming Wang, Feng Ye, Yanfang Wang
Author Affiliations +
Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111794N (2019) https://doi.org/10.1117/12.2540335
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
The basic idea of motion estimation is to divide each frame of an image sequence into a number of non-overlapped blocks, with the assumption that all pixels in a block have the same amount of displacement, then give each block a specificity reference frame. In the specified search range, a block that is most similar to the current block is considered to be a matching block according to a certain matching rule. There are many methods for searching for matching blocks, such as Full Search, Three Step Search, New Three Step Search, Four Step Search, and Diamond Search. These methods effectively improve the search accuracy and make the motion vectors obtained from motion estimation more accurate. This article mainly introduced the basic principles, implementation techniques, advantages and disadvantages, and the optimal and worst search complexity of various algorithms under different search windows of these algorithms. Finally, these algorithms are used to perform motion estimation, and the same method of motion compensation is performed to experimentally illustrate the applicable scenarios of various algorithms.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Di Zhang, Qian Huang, Yiming Wang, Feng Ye, and Yanfang Wang "Survey on block-based motion estimation for frame rate conversion", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111794N (14 August 2019); https://doi.org/10.1117/12.2540335
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Cited by 2 scholarly publications.
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KEYWORDS
Motion estimation

Video

Reconstruction algorithms

Diamond

Image quality

Process modeling

Image restoration

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