Amazon Technologies, Inc.

Charles Benjamin Franklin Waggoner

Yongjun Wu

Marc Joliveau

Matthew James Bordenet

Justin Michael Binns

Patrik Schnell

Srikanth Kiran Kotagiri

Joshua B Barnard

Hai Wei

Yang Yang

Stefan Christian Richter

Lars Christian Ulness

Terje Kristian Backman

Deepthi Nandakumar

Chris Longo

Jeffrey P Bezos

Colin Jon Taylor

Douglas Ryan Gray

Lei Li

Amarsingh Buckthasingh Winston

Wesley Shawn Davis

Sitaraman Ganapathy

Srinivas Rajagopalan

Jim Knowler

Mark Glyn Morgan

Lauri Juhani Särkkä

James Eric Knowler

Hilliard Bruce Siegel

Nicholas James Benson

Kenneth Thomas Burford

Gregory Scott Benjamin

Tanya Salyers

Vasanthakumar Soundararajan

Li Tong

Yann Thierry Oehl

Scott Thomas Moran

Alon Dulce

Techniques are described for adaptive encoding different portions of media content based on content. Characteristics of GOPs of media content can be determined and used to set encoding parameters for the GOs. The GOPs can be encoded such that one GOP is encoded differently than another GOP if they have different characteristics.

Content adaptive encoding

Methods and apparatus are described that relate to stitching different streams of high dynamic range (HDR) content together and handling HDR metadata mismatches between the differently produced content streams.

High dynamic range video content stitching

Techniques are described for optimizing video decoder operations.

Video decoder memory optimization

Techniques are described for adaptive encoding of different visual elements in a video frame. Characteristics of visual elements can be determined and used to set encoding parameters for the visual elements. The visual elements can be encoded such that one visual element is encoded differently than another visual element if they have different characteristics.

Visual element encoding parameter tuning

Techniques to enable virtual reality content to be delivered using a video codec that operates according to a scalable video encoding standard. Base layer frames for the different views of the virtual reality content are downloaded by a client device. The views are prioritized using a prediction model that assigns priorities based on the likelihood that a corresponding view will be selected within a particular period of time. Enhancement layer frames are then selected and downloaded based on the priorities.

Scalable video coding techniques

Disclosed are various embodiments for a client application for streaming media. The client application estimates the bandwidth of the client and the latency between the client and a media distribution service. A bit rate for a media stream is determined using the latency, a buffer state, and the estimated bandwidth. A time to send the request is determined using the estimated bandwidth and latency.

Generating requests for streaming media

Techniques are described that enable digital images to be delivered using a video codec that operates according to a video encoding standard. These techniques include encoding digital images as frames of video content files, and decoding the frames of the video content files to display the images.

Use video codecs to deliver images

Techniques enabled by the present disclosure enable media content to be split into sections that can be encoded by multiple video encoders. The disclosed techniques further enable the separately encoded sections to be stitched back together using coordination logic that does not require bi-directional communication between encoding processes.

Split-and-stitch media content encoding

Techniques for high-quality, segmented video encoding are described. As one example, a computer-implemented method includes receiving a video file, splitting the video file into a plurality of chunks comprising a first chunk of the video file and a second chunk of the video file that is later in video order than the first chunk, encoding the first chunk into a first encoded chunk, determining, separately from the encoding of the first chunk, a rate control state element for a section of the video file immediately before the second chunk in video order, encoding, separately from the encoding of the first chunk, the second chunk into a second encoded chunk using the rate control state element, and assembling the first encoded chunk and the second encoded chunk together to form an encoded video file.

Overlapped rate control for high-quality segmented video encoding

Techniques are described for encoding image frames of media content to be displayed within a three-dimensional projection space. Image frames at opposing sides of a seam of the three-dimensional projection space implementing a virtual reality (VR) environment can be identified and characteristics of portions of those image frames at the seam can be determined. Encoding parameters for a portion of one image frame can then be generated based on the characteristics of the portion of the other image frame on the opposite side of the seam.

Image frame encoding based on projection space seam

An adaptive video compression system may receive video data to be compressed, such as for delivery to a user device by a video streaming service. For example the video data may be an entire video file or a segment of a video file. The adaptive video compression system determines a suitable encoding scheme for compressing the video data. In order to determine the encoding scheme, the video data may be analyzed to extract a plurality of features interests of the video data, which may represent one or more characteristics of the video data. The features may be concatenated and collectively expressed as a feature vector. The feature vector is then used to determine a classification for the video data. Accordingly, an encoding scheme is determined for the video data based on the classification of the video data, and applied to video data to compress the video data.

Adaptive video compression

Techniques are described that enable virtual reality content to be delivered using a video codec that operates according to a scalable video encoding standard. These techniques include selectively downloading and decoding frames of video content.

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Portland, OR, United States of America

Charles Benjamin Franklin Waggoner