Hulu, LLC

Disney Enterprises, Inc.

Beijing Yojaja Software Technology Development Co., Ltd.

Xuchang Huangfu

Wenhao Zhang

Chen Liu

Xiaobo Liu

Deliang Fu

Chao Zhang

Rui Zhang

Scott C Labrozzi

Lan Xie

Yuanyi Xue

Shuai Lou

Christopher Richard Schroers

Roberto Gerson De Albuquerque Azevedo

Lemei Huang

Yang Zhang

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

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

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, a method analyzes content of a video to generate a representation for a video that represents a relationship of a bitrate to a quality measurement for the video. A plurality of candidate points on the representation are selected. Then, the method selects a profile ladder from at least a portion of the plurality of candidate points. Each profile in the profile ladder is associated with a candidate point and the profile includes a corresponding bitrate and a quality measurement for the respective candidate point. The profile ladder is used for the video.

Adaptive transcoding of profile ladder for videos

In some embodiments, a method receives a current encoding stream of a video. A first measurement for a reference encoding stream is selected to measure a quality of the reference encoding stream. The method compares a second measurement of the current encoding stream to the first measurement of the reference encoding stream and outputs whether the current encoding stream is validated based on the comparing.

Cross-validation of video encoding

In some embodiments, a method generates a representation for a video that represents a relationship of a bitrate to a quality measurement for the video and selects candidate transcoding points on the representation. A plurality of candidate profile ladders are generated based on the candidate transcoding points. Each of the plurality of candidate profile ladders includes a different combination of profiles and a profile is associated with at least one of a bitrate and a quality measurement. The method selects a profile ladder from the plurality of candidate profile ladders based on analyzing the bitrate or the quality of the profile ladder and uses the profile ladder for the video.

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Beijing, China

Xuchang Huangfu