Publication

Cross-codec encoding optimizations for video transcoding

SPIE Optics + Photonics


Abstract

A video on demand (VOD) server generates multiple video output qualities (bit rates), resolutions and codecs to best video quality for all viewers’ internet connection. While each codec optimizes tools and does computation-quality tradeoff there isn’t much work to exploit computation reduction across codecs. In this work, we propose some methods to achieve this. Specifically, we use VP9 mode decision to reduce the computational requirements of AV1 encoding.

Related Publications

All Publications

MLSys - March 1, 2020

Predictive Precompute with Recurrent Neural Networks

Hanson Wang, Zehui Wang, Yuanyuan Ma

ACM SIGCOMM - October 26, 2020

Zero Downtime Release: Disruption-free Load Balancing of a Multi-Billion User Website

Usama Naseer, Luca Niccolini, Udip Pant, Alan Frindell, Ranjeeth Dasineni, Theophilus A. Benson

FL-ICML - September 1, 2020

ResiliNet: Failure-Resilient Inference in Distributed Neural Networks

Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue

OSDI - November 4, 2020

The CacheLib Caching Engine: Design and Experiences at Scale

Benjamin Berg, Daniel S. Berger, Sara McAllister, Isaac Grosof, Sathya Gunasekar, Jimmy Lu, Michael Uhlar, Jim Carrig, Nathan Beckmann, Mor Harchol-Balter, Gregory G. Ganger

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy