Results 11 to 20 of about 1,288,460 (248)
Adaptive Video Encoding for Different Video Codecs [PDF]
IEEE Access, 2021 By 2022, we expect video traffic to reach 82% of the total internet traffic. Undoubtedly, the abundance of video-driven applications will likely lead internet video traffic percentage to a further increase in the near future, enabled by associate ...
G Esakki +2 more
exaly +6 more sources
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs [PDF]
Picture Coding Symposium, 2022 The adoption of video conferencing and video communication services, accelerated by COVID-19, has driven a rapid increase in video data traffic. The demand for higher resolutions and quality, the need for immersive video formats, and the newest, more ...
Angeliki Katsenou, Ioannis Mavromatis
exaly +3 more sources
Methodology for Modeling and Comparing Video Codecs: HEVC, EVC, and VVC [PDF]
Electronics (Switzerland), 2020 Online videos are the major source of internet traffic, and are about to become the largest majority. Increasing effort is aimed to developing more efficient video codecs.
Stefano Battista +2 more
exaly +4 more sources
Improved Encoding for Overfitted Video Codecs
2025 IEEE International Symposium on Circuits and Systems (ISCAS)International audienceOverfitted neural video codecs offer a decoding complexity orders of magnitude smaller than their autoencoder counterparts.
Leguay, Thomas +3 more
core +5 more sources
Multi-standard reconfigurable motion estimation processor for hybrid video codecs
IET Computers and Digital Techniques, 2011 This study presents a programmable and configurable motion estimation (ME) processor capable of performing ME across several state-of-the-art video codecs that include multiple tools to improve the accuracy of the calculated motion vectors.
JOSÉ Nunez-Yanez
exaly +4 more sources
Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs [PDF]
arXiv.org, 2023 Machine learning-based video codecs have made significant progress in the past few years. A critical area in the development of ML-based video codecs is an accurate evaluation metric that does not require an expensive and slow subjective test.
Majeedi, Abrar +5 more
core +2 more sources
IEEE Access, 2020 Video compression is the core technology in mobile (mHealth) and electronic (eHealth) health video streaming applications. With global video traffic projected to reach 82% of all Internet traffic by 2022, there is a strong need to develop efficient ...
Andreas S. Panayides +4 more
doaj +2 more sources
Boosting neural video codecs by exploiting hierarchical redundancy [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 In video compression, coding efficiency is improved by reusing pixels from previously decoded frames via motion and residual compensation. We define two levels of hierarchical redundancy in video frames: 1) first-order: redundancy in pixel space, i.e ...
Pourreza, Reza +4 more
core +2 more sources
Comparative Rate-Distortion-Complexity Analysis of VVC and HEVC Video Codecs
IEEE Access, 2021 Versatile Video Coding (VVC/H.266) is the next-generation international video coding standard and a successor to the widespread High Efficiency Video Coding (HEVC/H.265).
Alexandre Mercat +5 more
doaj +2 more sources
Flow-Process Foreground Region of Interest Detection Method for Video Codecs
IEEE Access, 2017 Detecting the foreground region of interest (ROI) for video sequences is an important issue both for video codecs and monitoring systems. In this paper, we propose a flow-process-based method to detect foreground ROI using four steps: global motion ...
Zhewei Zhang +4 more
doaj +2 more sources