Broadcast News
05/11/2021
iSIZE To Present SMPTE 2021 ATC
iSIZE has been selected to present at this year's SMPTE Annual Technical Conference (SMPTE 2021 ATC) starting 09 November and running on select days through to the 18 November.
The conference will be a virtual event with technical paper presentations, SMPTE Storytellers, roundtables, and networking events.
Yiannis Andreopoulos of iSIZE will be presenting a paper on the first day entitled 'Toward Generalized Psychovisual Preprocessing For Video Encoding'.
"Deep perceptual preprocessing has recently emerged as a new way to enable further bitrate savings across several generations of video encoders without breaking standards or requiring any changes in client devices," explained Andreopoulos. He went on: "In this paper, we lay the foundations toward a generalized psychovisual preprocessing framework for video encoding and describe one of its promising instantiations that is practically deployable for video-on-demand, live, gaming and user-generated content."
The paper will demonstrate the results using state-of-the-art AVC, HEVC and VVC encoders show that average bitrate (BD-rate) gains of 11% to 17% are obtained over three state-of-the-art reference-based quality metrics (Netflix VMAF, SSIM and Apple AVQT), as well as the recently-proposed non-reference ITU-T p.1204 metric. The runtime complexity of the proposed framework on CPU is shown to be equivalent to a single x264 medium-preset encoding. On GPU hardware, the iSIZE approach achieves 260fps for 1080p video (below 4ms/frame), thereby enabling its use in very-low latency live video or game streaming applications.
www.isize.co
The conference will be a virtual event with technical paper presentations, SMPTE Storytellers, roundtables, and networking events.
Yiannis Andreopoulos of iSIZE will be presenting a paper on the first day entitled 'Toward Generalized Psychovisual Preprocessing For Video Encoding'.
"Deep perceptual preprocessing has recently emerged as a new way to enable further bitrate savings across several generations of video encoders without breaking standards or requiring any changes in client devices," explained Andreopoulos. He went on: "In this paper, we lay the foundations toward a generalized psychovisual preprocessing framework for video encoding and describe one of its promising instantiations that is practically deployable for video-on-demand, live, gaming and user-generated content."
The paper will demonstrate the results using state-of-the-art AVC, HEVC and VVC encoders show that average bitrate (BD-rate) gains of 11% to 17% are obtained over three state-of-the-art reference-based quality metrics (Netflix VMAF, SSIM and Apple AVQT), as well as the recently-proposed non-reference ITU-T p.1204 metric. The runtime complexity of the proposed framework on CPU is shown to be equivalent to a single x264 medium-preset encoding. On GPU hardware, the iSIZE approach achieves 260fps for 1080p video (below 4ms/frame), thereby enabling its use in very-low latency live video or game streaming applications.
www.isize.co
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