Presentation + Paper
25 August 2020 Open source framework for reduced-complexity multi-rate HEVC encoding
Author Affiliations +
Abstract
Adaptive bitrate streaming (ABR) is the key enabler for large-scale video distribution over internet. While this approach allows for very reliable and robust video distribution, but it comes at a cost. While only a single SD and a single HD representation is needed for traditional cable/IPTV distribution, ABR requires far more representations. This, in turn, takes a heavy toll on computational resources. x265, a popular open-source HEVC encoder introduced a framework for reusing information across different representations. While the benefits of this framework to compute time are significant, it relied heavily on user input to configure the encoder correctly to achieve the required gains. In this paper, we present an x265-based implementation that leverages the above framework to automatically improve the computation effciency by 44%, as well as an orders of magnitude reduction in the turnaround time.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aruna Mathesawaran, Praveen Kumar Karadugattu, Pradeep Ramachandran, Alex Giladi, Dan Grois, Pooja Venkatesan, and Alex Balk "Open source framework for reduced-complexity multi-rate HEVC encoding", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115101Y (25 August 2020); https://doi.org/10.1117/12.2567877
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KEYWORDS
Computer programming

Video

Internet

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