Faizul Hadi Mohamad Jamil and Ali Chekima and Rosalyn R. Porle, and Othman Ahmad and Norfarariyanti Parimon (2012) BMA performance of video coding for motion estimation. In: 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2012) , 8-10 February 2012, Kota Kinabalu, Sabah, Malaysia.
Full text not available from this repository.Abstract
The major advantages of Block Matching Algorithm is it can reduce the temporal redundancy by placing a direction and magnitude of a Motion Vector (MV) instead of an image block. There are various type of BMA for motion estimation technique have been proposed to enhance the accuracy of the MV of the image block and also to reduce the computational complexity of the BMA for time consuming. This paper investigate and presents a very brief introduction to seven type of famous BMA that are Exhaustive Search, Three Step Search, New Three Step Search, Simple and Efficient Three Step Search, Four Step Search, Diamond Search and Adaptive Rood Pattern Search. This paper also performs all of the seven BMA techniques with different parameter of I and P mode sequence, different search range and also different block size.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Keyword: | Block matching algorithm; Motion compensation; Motion estimation; Motion vector, Adaptive rood pattern search; Block matching algorithms; Block sizes; Diamond search; Estimation techniques; Exhaustive search; Four step searches; Image blocks; Motion vector; Motion Vectors; New three-step searches; P modes; Search range; Temporal redundancy; Three-step search, Intelligent systems; Motion compensation, Motion estimation |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics |
Department: | SCHOOL > School of Engineering and Information Technology |
Depositing User: | ADMIN ADMIN |
Date Deposited: | 10 Dec 2012 15:40 |
Last Modified: | 08 Sep 2014 12:27 |
URI: | https://eprints.ums.edu.my/id/eprint/5580 |
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