Intel Corporation

Hulu, LLC

Boe Technology Group Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Beijing Yojaja Software Technology Development Co., Ltd.

Disney Enterprises, Inc.

Beijing Zitiao Network Technology Co., Ltd.

Wenhao Zhang

Lidong Xu

Yi-Jen Chiu

Yu Han

Deliang Fu

Zhipin Deng

Chen Liu

Xiaoxia Cai

Hong Jiang

Lan Xie

Juncheng Ma

Xiaobo Liu

Tongyu Dai

Chao Li

Qiang She

Yuting Gui

Shenglan Huang

Yicheng Liu

Min Gao

Xuchang Huangfu

Xizhi Xu

Pieter Kapsenberg

Yanping Zhou

Jing Cui

Scott C Labrozzi

Yuanyi Xue

Chao Zhang

Christopher Richard Schroers

James M Holland

Rui Zhang

Hengzhen Liang

Zhili Chen

Srinivasan Embar Raghukrishnan

Iole Moccagatta

Dmitry E Ryzhov

Michael J Bracco

Yuting Yang

Si Chen

Xiaocheng Li

Lemei Huang

Jiarui Yang

Shuai Lou

Shun Ni

Hui Wang

Yang Zhang

Wei Feng

Jason Daniel Tanner

Pablo Navarrete Michelini

Hanwen Liu

Dan Zhu

Sheng Wang

Jingtao Xu

Sang-hee Lee

Atthar H Mohammed

Satya N Yedidi

Dongling Sun

Zhengwei Zhu

Kuhyun Park

Yunbok Lee

Lingxiao Hu

Ang Liu

Chun Ye

WeiShan Yu

Boyuan Hu

Youhui Liu

Aleksandar Zambelli

Youngman Kwon

Boya Lai

Weiran Shi

A method includes transcoding, by a first transcoding process, a first sub-partition of a current block using a first set of reference pixels. Also, the method includes transcoding, by a second transcoding process, a second sub-partition of the current block using the first set of reference pixels. The first transcoding process transcodes a third sub-partition of the current block based on a second set of reference pixels. The second transcoding process transcodes a fourth sub-partition of the current block based on a third set of reference pixels.

Processing sub-partitions using reference pixels

In some embodiments, a method sends information for a sample of content, a first question, and a second question for output on an interface. The first question receives, from a subject, a first response for a sample level rating for an artifact that is perceived to be visible in the sample and the second question receives, from the subject, a second response for regions in the sample that are perceived to contain the artifact. The method receives the first response for the sample level rating and the second response for regions that are perceived to contain the artifact. First responses are combined from multiple subjects to generate an opinion score for the sample and second responses are combined to generate region scores for regions. The method generates training data from the opinion score and the region scores to train a process to perform an action based on the artifacts.

Subjective quality assessment tool for image/video artifacts

One embodiment of the present invention sets forth a technique for inserting content into a media program. The technique includes determining a plurality of markers corresponding to a plurality of locations within a media program. The technique also includes for each marker included in the plurality of markers, automatically analyzing a first set of intervals within the media program that lead up to the marker and a second set of intervals within the media program that immediately follow the marker and determine a set of audio characteristics associated with the first set of intervals and the second set of intervals. The technique further includes generating a plurality of scores for the plurality of markers based on the set of audio characteristics for each marker and inserting additional content at one or more markers included in the plurality of markers based on the plurality of scores.

Optimizing insertion points for content based on audio and video characteristics

In some embodiments, a method receives a time period in which video files will be delivered through a plurality of nodes. The method determines a plurality of user accounts that may use a video delivery system to deliver the video files in the time period; generates probabilities of which nodes may be used for each of the plurality of user accounts in the time period; and generates probabilities of which video files may be accessed by each of the plurality of user accounts. A list of video files is generated for a node based on the probabilities of which video files may be accessed and the probabilities of which nodes may be used for each of the plurality of user accounts. The method causes at least a portion of the list of video files for the node to be stored on the node.

Video file storage prediction process for caches in video servers

A logo labeling method and device, an update method and system, and a storage medium are provided. The logo labeling method includes: acquiring a standard logo picture including a logo; based on the standard logo picture, determining transparency channel information to obtain a first logo picture; determining a circumscribed rectangle frame of the logo in the first logo picture based on the transparency channel information, and performing cutting processing on the first logo picture according to the circumscribed rectangle frame to obtain a second logo picture; performing data augmentation processing based on the second logo picture to obtain at least one third logo picture; and acquiring a background picture, determining pasting position information of the third logo picture in the background picture, and pasting the third logo picture on the background picture according to the pasting position information to obtain at least one logo labeling picture.

Logo labeling method and device, update method and system of logo detection model, and storage medium

In some embodiments, a method generates a first representation of a first relationship between bitrate and quality based on first features of a first portion of a video. Also, the method generates a second representation of a second relationship between bitrate and quality based on second features of a second portion of a video. The first representation is analyzed to determine a first list of bitrates for the first portion of video and the second representation is analyzed to determine a second list of bitrates for the second portion of video. The first list of bitrates is different from the second list of bitrates. The method outputs the first list of bitrates for use encoding the first portion of video and the second list of bitrates for use encoding the second portion of video.

Dynamic selection of candidate bitrates for video encoding

Disclosed are face clustering method and apparatus, image classification storage method, computer-readable storage medium and electronic device. The face clustering method includes: clustering to-be-clustered images, including: acquiring similarity threshold corresponding to quantity level of current image categories in image category library, at least two quantity levels corresponding to different similarity thresholds; judging, according to current similarity threshold and similarity between each to-be-clustered face image and at least one image category in image category library, whether there is image of same category as to-be-clustered face image in image category library; determining, when there is image of same category as to-be-clustered face image, category label of the to-be-clustered face image according to category label of image of same category as to-be-clustered face image; and assigning, when there is no image of same category as to-be-clustered face image, category label to the to-be-clustered face image according to first preset rule.

Face clustering method and apparatus, classification storage method, medium and electronic device

In some embodiments, a method generates a reward function for an adaptive bitrate function that is based on a bandwidth and profiles in a profile ladder for a current segment of content. The reward function indicates a first profile should be selected for the current segment. The method performs a quality change analysis to select a second profile from the profile. The quality change analysis analyzes a quality change that is based on a previously selected profile from a prior segment and profiles in the profile ladder. The second profile is requested from the profile ladder for the current segment.

Cross-period quality smoothing in adaptive bitrate algorithm

Systems, apparatus, articles, and methods are described including operations for size based transform unit context derivation. In an example encoder, first circuitry is to encode video input data into a bitstream according to a bitstream syntax, wherein the video input data includes one or more pictures, the one or more pictures are partitioned into one or more coding tree blocks, the one or more coding tree blocks are partitioned into slices including one or more coding tree blocks, the one or more coding tree blocks include one or more transform blocks according to a transform tree including a split_transform_flag indicative of the split of a given coding block into corresponding one or more transform blocks, the split_transform_flag is coded using CABAC, and a context index associated with the CABAC coding of the split_transform_flag is based on a value. Second circuitry of the encoder is to output the bitstream.

Size based transform unit context derivation

In some embodiments, a method sends a set of first requests for a set of first segments of a video in a playback session. A first protocol from a plurality of protocols is specified in at least one of the set of first requests. The set of first segments is received. The method determines whether to switch from using the first protocol to a second protocol in the playback session based on receiving the set of first segments. When switching to the second protocol, the method sends a second request in the playback session, wherein the second request indicates the second protocol is to be used to send a second segment of the video.

Multiple protocol prediction and in-session adaptation in video streaming

In some embodiments, a method receives a first request for a first time window and a first viewport position for a client that is viewing a 360 degree video. A first message is sent to indicate a computing device will push content in a stream for a first one or more time windows other than the first time window. The method pushes content based on the first viewport position for the first time window to the client. A second request is received to change from the first viewport position to a second viewport position. The method sends a second message to indicate the computing device will push content in the stream for a second one or more time windows without canceling the stream. The method pushes content based on the second viewport position in the 360 degree video for the second one or more time windows to the client.

Pushing content in time windows based on different positions

In some embodiments, a method receives a file for transcoding. A timing requirement is associated with the transcoding of the file. The method generates a prediction of a timing estimation based on characteristics of the file and a set of target configurations. A target configuration in the set of target configurations is associated with a transcoding setting. The timing estimation is analyzed for the set of target configurations and the timing requirement to determine a transcoding configuration of a transcoding system. The transcoding configuration of the transcoding system is output to configure the transcoding system to transcode the file. The file is to be transcoded using at least a portion of the set of target configurations based on configuring of the transcoding system.

Optimized video transcoding based on a timing requirement

In some embodiments, after receiving a first set of video segments of a video, a method starts a first computing instance and receives a video segment of the video using the first computing instance. A measurement is calculated based on receiving the video segment. The method uses the measurement to determine whether the first computing instance should continue to be used to receive video segments in the video or should be terminated to not receive video segments in the video.

Concurrent downloading of video

In some embodiments, a method selects a first template of pixels that is outside of a first block and a second template of pixels that is outside of the first block. Then, the method selects a first region of pixels that are inside the first block and a second region of pixels that are inside the first block. A first weight is calculated based on the first template of pixels and the first region of pixels and a second weight is calculated based on the second template of pixels and the second region of pixels. The first weight and the second weight are used in a motion prediction search for a second block.

Selective template matching in video coding

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Beijing, China

Wenhao Zhang