An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme-Reference-Cited by-同舟云学术

An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme

Published:2020-06-18 Issue:33-34 Volume:79 Page:24173-24184
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kerfa Djoudi^ORCID,Saidane AbdelKader

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-020-09040-z.pdf

Reference21 articles.

1. Basher HA (2011) Two minimum three step search algorithm for motion estimation of images from moving IR camera. In: 2011 Proceedings of IEEE Southeastcon. IEEE, p. 384–389.

2. de Vos L, Stegherr M (1989) Parameterizable VLSI architectures for the full-search block-matching algorithm. IEEE Trans Circ Syst 36(10):1309–1316

3. Gangodkar D, Kumar P, Kumar P et al (2011) Real-time motion detection using block matching algorithms on multicore processors. Int J Inf Commun Technol 3(2):131–147

4. Kerfa D, Belbachir MF (2016) Star diamond: an efficient algorithm for fast block matching motion estimation in H264/AVC video codec. Multimed Tools Appl 75(6):3161–3175

5. Kerfa D, Saidane A (2019) An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme. In: Real-Time Image Processing and Deep Learning 2019. International Society for Optics and Photonics, p. 109960C

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