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 Effective and Efficient Video Compression by the Deep Learning Techniques Subject The topic of the resource Convolutional neural networks (CNN); generative adversarial network (GAN); K-nearest neighbours (KNN); long short-term memory (LSTM); singular value decomposition (SVD); stochastic gradient descent (SGD) Description An account of the resource Deep learning has reached many successes in Video Processing. Video has become a growing important part of our daily digital interactions. The advancement of better resolution content and the large volume offers serious challenges to the goal of receiving, distributing, compressing and revealing highquality video content. In this paper we propose a novel Effective and Efficient video compression by the Deep Learning framework based on the flask, which creatively combines the Deep Learning Techniques on Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN). The video compression method involves the layers are divided into different groups for data processing, using CNN to remove the duplicate frames, repeating the single image instead of the duplicate images by recognizing and detecting minute changes using GAN and recorded with Long Short-Term Memory (LSTM). Instead of the complete image, the small changes generated using GAN are substituted, which helps with frame-level compression. Pixel wise comparison is performed using K-nearest Neighbours (KNN) over the frame, clustered with K-means and Singular Value Decomposition (SVD) is applied for every frame in the video for all three colour channels [Red, Green, Blue] to decrease the dimension of the utility matrix [R, G, B] by extracting its latent factors. Video frames are packed with parameters with the aid of a codec and converted to video format and the results are compared with the original video. Repeated experiments on several videos with different sizes, duration, Frames per second (FPS), and quality results demonstrated a significant resampling rate. On normal, the outcome delivered had around a 10% deviation in quality and over half in size when contrasted, and the original video. 2023 CRL Publishing. All rights reserved. Creator An entity primarily responsible for making the resource Panneerselvam K.; Mahesh K.; Josephine V.L.H.; Kumar A.R. Source A related resource from which the described resource is derived Computer Systems Science and Engineering, Vol-45, No. 2, pp. 1047-1061. Publisher An entity responsible for making the resource available Tech Science Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.32604/csse.2023.030513" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/csse.2023.030513</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143842997&amp;doi=10.32604%2Fcsse.2023.030513&amp;partnerID=40&amp;md5=a9155ad90a386ff34f9b4621ddea5d16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143842997&amp;doi=10.32604%2fcsse.2023.030513&amp;partnerID=40&amp;md5=a9155ad90a386ff34f9b4621ddea5d16</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 2676192; CODEN: CSSEE 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 Panneerselvam K., Department of Computer Applications, Alagappa University, Karaikudi, India, Department of Computer Science and Engineering, Lovely professional University, Punjab, Phagwara, India; Mahesh K., Department of Computer Applications, Alagappa University, Karaikudi, India; Josephine V.L.H., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Kumar A.R., Department of Computer Science and Engineering, Lovely professional University, Punjab, Phagwara, India