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GTC ON-DEMAND

Presentation
Media
Abstract:
NVIDIA's Turing GPUs contain a brand new hardware accelerator for optical flow. This hardware accelerator, which is independent of CUDA cores, calculates optical flow vectors between a given frame pair at very high accuracy and high performance. This session provides a brief overview of the optical flow functionality and SDK, which was recently released by NVIDIA. We will provide a technical overview of the optical flow engine capabilities, performance and quality benchmarks and results of typical end-to-end use-cases.
NVIDIA's Turing GPUs contain a brand new hardware accelerator for optical flow. This hardware accelerator, which is independent of CUDA cores, calculates optical flow vectors between a given frame pair at very high accuracy and high performance. This session provides a brief overview of the optical flow functionality and SDK, which was recently released by NVIDIA. We will provide a technical overview of the optical flow engine capabilities, performance and quality benchmarks and results of typical end-to-end use-cases.  Back
 
Topics:
Virtual Reality & Augmented Reality, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S91024
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Abstract:
This talk will focus on latest updates of NVIDIA video technologies such as video encoding, decoding and optical flow SDK, with particular emphasis on quality, performance and functionality improvements brought by Turing architecture. We will also discuss applications of the video technologies into various DL/AI use cases and optimization techniques in such use cases. A new release of the video SDK (9.0) and the first version of Optical Flow SDK (1.0) are set to launch in Q1 2019, so this session will be an ideal preview.
This talk will focus on latest updates of NVIDIA video technologies such as video encoding, decoding and optical flow SDK, with particular emphasis on quality, performance and functionality improvements brought by Turing architecture. We will also discuss applications of the video technologies into various DL/AI use cases and optimization techniques in such use cases. A new release of the video SDK (9.0) and the first version of Optical Flow SDK (1.0) are set to launch in Q1 2019, so this session will be an ideal preview.  Back
 
Topics:
Video & Image Processing, Intelligent Video Analytics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9331
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Abstract:
NVIDIA's video SDK is a set of APIs for hardware-accelerated video encoding and decoding using NVIDIA GPUs. We'll provide an overview of the APIs, with particular emphasis on the latest features, such as FFmpeg support of NVIDIA-accelerated transcoding, quality and performance enhancements. We'll discuss some strategies on efficient usage of GPU video hardware acceleration for use cases such as video inferencing, transcoding, and media archiving.
NVIDIA's video SDK is a set of APIs for hardware-accelerated video encoding and decoding using NVIDIA GPUs. We'll provide an overview of the APIs, with particular emphasis on the latest features, such as FFmpeg support of NVIDIA-accelerated transcoding, quality and performance enhancements. We'll discuss some strategies on efficient usage of GPU video hardware acceleration for use cases such as video inferencing, transcoding, and media archiving.  Back
 
Topics:
AI Application, Deployment & Inference, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8601
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Abstract:

We'll provide an overview, updates, and roadmap for various NVIDIA video technologies. These include video SDK for encode and decode, and capture SDK for screen capture and application capture. NVIDIA's video SDK is a set of APIs for hardware-accelerated video encoding and decoding using NVIDIA GPUs. We'll provide an overview of the APIs, with particular emphasis on the latest features, such as FFMPEG/libAV support of NVIDIA-accelerated transcoding, motion-estimation API enhancements, quality and performance enhancements, and new codec support. Capture SDK is a set of APIs provided by NVIDIA for fast capture of the desktop screen or application buffer content. We'll provide an overview of the latest additions to these APIs.

We'll provide an overview, updates, and roadmap for various NVIDIA video technologies. These include video SDK for encode and decode, and capture SDK for screen capture and application capture. NVIDIA's video SDK is a set of APIs for hardware-accelerated video encoding and decoding using NVIDIA GPUs. We'll provide an overview of the APIs, with particular emphasis on the latest features, such as FFMPEG/libAV support of NVIDIA-accelerated transcoding, motion-estimation API enhancements, quality and performance enhancements, and new codec support. Capture SDK is a set of APIs provided by NVIDIA for fast capture of the desktop screen or application buffer content. We'll provide an overview of the latest additions to these APIs.

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Topics:
Video & Image Processing, Data Center & Cloud Infrastructure, Media and Entertainment
Type:
Tutorial
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7111
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Abstract:
We'll provide an overview of video encoding and decoding technologies available using NVIDIA GPUs. In particular, attendees can expect to learn the following: (1) overview of NVIDIA Video Codec SDK; (2) new features in NVIDIA video encoding (NVENC) and decoding (NVDEC) hardware with latest generation GPU chips; (3) changes and new features in Video Codec SDK 6.0 and roadmap; and (4) How to use the API's exposed by video codec SDK for various applications, such as transcoding, capturing & streaming etc.
We'll provide an overview of video encoding and decoding technologies available using NVIDIA GPUs. In particular, attendees can expect to learn the following: (1) overview of NVIDIA Video Codec SDK; (2) new features in NVIDIA video encoding (NVENC) and decoding (NVDEC) hardware with latest generation GPU chips; (3) changes and new features in Video Codec SDK 6.0 and roadmap; and (4) How to use the API's exposed by video codec SDK for various applications, such as transcoding, capturing & streaming etc.  Back
 
Topics:
Media and Entertainment, Tools & Libraries, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6226
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Abstract:
This session is intended to provide a broad overview of the video encoding capabilities of current and future versions of NVIDIA's NVENC, a hardware accelerated encoder that ships with NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding, with an overview of recent improvements in features, performance and quality. We will also provide a quick overview of how NVIDIA video encoding can be used in applications such as transcoding, video streaming, and GPU virtualization.
This session is intended to provide a broad overview of the video encoding capabilities of current and future versions of NVIDIA's NVENC, a hardware accelerated encoder that ships with NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding, with an overview of recent improvements in features, performance and quality. We will also provide a quick overview of how NVIDIA video encoding can be used in applications such as transcoding, video streaming, and GPU virtualization.  Back
 
Topics:
Media and Entertainment, Tools & Libraries, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5613
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Abstract:
This session gives a detailed overview of the NVENC encoder interface. The session will focus on the software aspect of NVENC and will have a detail tutorial how to correctly use the encoder interface to take advantage of the hardware encoder. The tutorial will focus detail steps how to create HW encoder session, asynchronously use the encoder to encode frames. The second part of tutorial will focus on various knobs provided in the interface to control the performance and quality of the encoder session.
This session gives a detailed overview of the NVENC encoder interface. The session will focus on the software aspect of NVENC and will have a detail tutorial how to correctly use the encoder interface to take advantage of the hardware encoder. The tutorial will focus detail steps how to create HW encoder session, asynchronously use the encoder to encode frames. The second part of tutorial will focus on various knobs provided in the interface to control the performance and quality of the encoder session.  Back
 
Topics:
Video & Image Processing, Media and Entertainment
Type:
Tutorial
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4654
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Abstract:

This session is intended to provide a broad overview of the video encoding capabilities of the current (Kepler) and future (Maxwell) generations of NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding, with an overview of recent improvements made in performance and quality of the encoder. We will also provide a quick overview of how NVIDIA video encoding can be used in various applications such as transcoding, low-latency applications, virtualization, streaming etc.

This session is intended to provide a broad overview of the video encoding capabilities of the current (Kepler) and future (Maxwell) generations of NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding, with an overview of recent improvements made in performance and quality of the encoder. We will also provide a quick overview of how NVIDIA video encoding can be used in various applications such as transcoding, low-latency applications, virtualization, streaming etc.

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Topics:
Media & Entertainment Summit, Graphics and AI, Cloud Visualization, Desktop & Application Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4646
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Abstract:

This session provides a broad overview of the video encoding capabilities of the NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding. Representative performance and quality metrics of NVIDIA video encoding will also be presented. Additionally, a quick overview of how NVIDIA video encoding can be used in various applications such as transcoding, low-latency applications, virtualization, streaming etc. will be provided.

This session provides a broad overview of the video encoding capabilities of the NVIDIA GPUs. We will provide an overview of the hardware capabilities and software APIs used for video encoding. Representative performance and quality metrics of NVIDIA video encoding will also be presented. Additionally, a quick overview of how NVIDIA video encoding can be used in various applications such as transcoding, low-latency applications, virtualization, streaming etc. will be provided.

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Topics:
Video & Image Processing, Media and Entertainment
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3379
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