Ant weight-lifting algorithm for motion estimation
Every video coding standard includes and requires motion estimation and compensation. The full search algorithm, which provides the best motion estimation, has a very high computation cost. Researchers have developed several algorithms to reduce the cost of computation. However, most of these algori...
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| Published in: | Iran Journal of Computer Science (Online) Vol. 6; no. 3; pp. 207 - 219 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Springer International Publishing
01.09.2023
Springer Nature B.V |
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| ISSN: | 2520-8438, 2520-8446 |
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| Abstract | Every video coding standard includes and requires motion estimation and compensation. The full search algorithm, which provides the best motion estimation, has a very high computation cost. Researchers have developed several algorithms to reduce the cost of computation. However, most of these algorithms become trapped in local minima during the search. Population-based evolutionary algorithms are widely used to develop a computationally efficient and cost-effective motion estimation strategy. The most recent effort used the Jaya algorithm to develop a motion estimation process that outperformed the state-of-the-art test zone search algorithm. In this study, a motion estimation algorithm based on the ant weight-lifting approach is proposed. Previously, the ant weight-lifting algorithm was used to solve a variety of problems, such as image segmentation, signal compression, and so on. The ant weight-lifting algorithm's computation cost was reduced by adopting a fitness estimation method that uses nearest-neighbor interpolation and an early termination strategy. Compared to Jaya algorithm-based motion estimation, the proposed algorithm executes up to 3% more quickly and exhibits up to 1.2 dB less distortion. |
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| AbstractList | Every video coding standard includes and requires motion estimation and compensation. The full search algorithm, which provides the best motion estimation, has a very high computation cost. Researchers have developed several algorithms to reduce the cost of computation. However, most of these algorithms become trapped in local minima during the search. Population-based evolutionary algorithms are widely used to develop a computationally efficient and cost-effective motion estimation strategy. The most recent effort used the Jaya algorithm to develop a motion estimation process that outperformed the state-of-the-art test zone search algorithm. In this study, a motion estimation algorithm based on the ant weight-lifting approach is proposed. Previously, the ant weight-lifting algorithm was used to solve a variety of problems, such as image segmentation, signal compression, and so on. The ant weight-lifting algorithm's computation cost was reduced by adopting a fitness estimation method that uses nearest-neighbor interpolation and an early termination strategy. Compared to Jaya algorithm-based motion estimation, the proposed algorithm executes up to 3% more quickly and exhibits up to 1.2 dB less distortion. Every video coding standard includes and requires motion estimation and compensation. The full search algorithm, which provides the best motion estimation, has a very high computation cost. Researchers have developed several algorithms to reduce the cost of computation. However, most of these algorithms become trapped in local minima during the search. Population-based evolutionary algorithms are widely used to develop a computationally efficient and cost-effective motion estimation strategy. The most recent effort used the Jaya algorithm to develop a motion estimation process that outperformed the state-of-the-art test zone search algorithm. In this study, a motion estimation algorithm based on the ant weight-lifting approach is proposed. Previously, the ant weight-lifting algorithm was used to solve a variety of problems, such as image segmentation, signal compression, and so on. The ant weight-lifting algorithm's computation cost was reduced by adopting a fitness estimation method that uses nearest-neighbor interpolation and an early termination strategy. Compared to Jaya algorithm-based motion estimation, the proposed algorithm executes up to 3% more quickly and exhibits up to 1.2 dB less distortion. |
| Author | Chaudhuri, Sheli Sinha Acharjee, Suvojit |
| Author_xml | – sequence: 1 givenname: Suvojit surname: Acharjee fullname: Acharjee, Suvojit email: acharjeesuvo@gmail.com organization: Department of ETCE, Jadavpur University – sequence: 2 givenname: Sheli Sinha surname: Chaudhuri fullname: Chaudhuri, Sheli Sinha organization: Department of ETCE, Jadavpur University |
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| Cites_doi | 10.1016/j.engappai.2013.04.003 10.1007/s10470-018-1348-5 10.1166/jmihi.2016.1594 10.12989/bme.2019.4.1.009 10.1109/JPROC.2020.3043399 10.1109/76.260203 10.1016/j.dsp.2019.01.016 10.1016/j.cie.2011.06.015 10.1016/j.engappai.2012.08.003 10.1109/TCSVT.2012.2221191 10.1080/00045600802232458 10.4018/ijssmet.2014010103 10.1109/MMUL.2006.93 10.1109/TIP.2002.806251 10.1109/76.735381 10.1007/978-981-19-4990-6_13 10.1109/TEVC.2004.826069 10.1109/ICCIC.2013.6724162 10.1117/12.453031 10.1007/978-981-15-9290-4_1 10.1109/ICCIC.2013.6724160 10.1117/12.411871 |
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| Copyright | The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. |
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| Keywords | Ant weight lifting VVC Motion estimation Block matching algorithm Block matching |
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| SubjectTerms | Artificial Intelligence Computation Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Evolutionary algorithms Hoisting Image compression Image segmentation Mathematics of Computing Motion simulation Search algorithms Software Engineering/Programming and Operating Systems Theory of Computation |
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