Machine learning based video coding optimizations: A survey

Volume: 506, Pages: 395 - 423
Published: Jan 1, 2020
Abstract
Video data has become the largest source of data consumed globally. Due to the rapid growth of video applications and boosting demands for higher quality video services, video data volume has been increasing explosively worldwide, which has been the most severe challenge for multimedia computing, transmission and storage. Video coding by compressing videos into a much smaller size is one of the key solutions; however, its development has become...
Paper Details
Title
Machine learning based video coding optimizations: A survey
Published Date
Jan 1, 2020
Volume
506
Pages
395 - 423
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.