Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deep Convolutional Neural Network Driven Interpolation Filter for High Efficiency Video Coding Subject The topic of the resource deep Convolutional Neural Network; High Efficiency Video Coding; motion vectors; Super-Resolution Convolutional Neural Network Description An account of the resource Research in video coding has gained significant importance in recent years, driven by the increasing demand for multimedia transmission. High Efficiency Video Coding (HEVC) has emerged as a prominent standard in this field. Interpolation is a crucial aspect of HEVC, particularly when using fixed half-pel interpolation filters derived from traditional signal processing techniques. In recent times, there has been an exploration of interpolation filters that are based on Convolutional Neural Networks (CNNs). Conventional signal processing techniques are used in traditional HEVC methods to employ fixed half-pel interpolation filters. Recent advancements have delved into the application of Convolutional Neural Networks (CNNs) to enhance interpolation performance. Our proposed method utilises a sophisticated CNN architecture specifically crafted to extract valuable features from low-resolution image patches and accurately predict high-resolution images. The network consists of multiple layers of CNN blocks, which utilise 1 and 3 convolutional kernels to enable efficient and thorough feature extraction through parallel processing. This architecture improves computational efficiency and greatly enhances prediction accuracy The suggested interpolation filter shows a 2.38% enhancement in bitrate savings, as evaluated by the BD-rate metric, specifically in the low delay P configuration. This highlights the potential of deep learning techniques in improving video coding efficiency. 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/). Creator An entity primarily responsible for making the resource Joy H.K.; Kounte M.R. Source A related resource from which the described resource is derived Mathematical Modelling of Engineering Problems, Vol-11, No. 7, pp. 1989-1995. Publisher An entity responsible for making the resource available International Information and Engineering Technology Association Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.18280/mmep.110730" target="_blank" rel="noreferrer noopener">https://doi.org/10.18280/mmep.110730</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200400661&amp;doi=10.18280%2Fmmep.110730&amp;partnerID=40&amp;md5=ff41a91628692ab38273224b549d6c21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200400661&amp;doi=10.18280%2fmmep.110730&amp;partnerID=40&amp;md5=ff41a91628692ab38273224b549d6c21</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 23690739 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joy H.K., Department of Computer Science, CHRIST Deemed to be University, Bengaluru, 560029, India; Kounte M.R., School of ECE, REVA University, Bangaluru, 560064, India