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Compared with H.265\/High Efficiency Video Coding (HEVC), the latest video coding standard, Versatile Video Coding (VVC), can save 50%-bit rate while maintaining the same subjective quality, but it leads to extremely high encoding complexity. To decrease the complexity, a fast coding unit (CU) size decision method based on Just Noticeable Distortion (JND) and deep learning is proposed in this paper. Specifically, the hybrid JND threshold model is first designed to distinguish smooth, normal, or complex region. Then, if CU belongs to complex area, the Ultra-Spherical SVM (US-SVM) classifiers are trained for forecasting the best splitting mode. Experimental results illustrate that the proposed method can save about 52.35% coding runtime, which can realize a trade-off between the reduction of computational burden and coding efficiency compared with the latest methods.<\/jats:p>","DOI":"10.1155\/2021\/3813116","type":"journal-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T23:05:47Z","timestamp":1639004747000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Fast CU Size Decision Method Based on Just Noticeable Distortion and Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"given":"Jinchao","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8533-7088","authenticated-orcid":true,"given":"Qiuwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2019.2945473"},{"volume-title":"NextSoftware: An Alternative Implementation of the Joint Exploration Model (JEM)","year":"2017","author":"A. 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