Disney Enterprises, Inc.

Eth Zürich (Eidgenössische Technische Hochschule Zürich)

Beijing Yojaja Software Technology Development Co., Ltd.

Yang Zhang

Christopher Richard Schroers

Scott C Labrozzi

Yuanyi Xue

Roberto Gerson De Albuquerque Azevedo

Wenhao Zhang

Tunc Ozan Aydin

Xuchang Huangfu

Lemei Huang

Zhenghao Chen

Lucas Relic

Mingyang Song

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 system includes a first component to extract temporal features from a current frame being coded and a previous frame of a video. A second component uses a first transformer to fuse spatial features from the current frame with the temporal features to generate spatio-temporal features as first output. A third component uses a second transformer to perform entropy coding using the first output and at least a portion of the temporal features to generate a second output. A fourth component uses a third transformer to reconstruct the current frame based on the first output that is processed using the second output and the temporal features.

Contextual video compression framework with spatial-temporal cross-covariance transformers

In some embodiments, a method trains a first parameter of a differentiable proxy codec to encode source content based on a first loss between first compressed source content and second compressed source content that is output by a target codec. A pre-processor pre-processes a source image to output a pre-processed source image, the pre-processing being based on a second parameter. The differentiable proxy codec encodes the pre-processed source image into a compressed pre-processed source image based on the first parameter. The method determines a second loss between the source image and the compressed pre-processed source image and determines an adjustment to the first parameter based on the second loss. The adjustment is used to adjust the second parameter of the pre-processor based on the second loss.

Performance optimization of pre-processor using video proxy codec

Growing community of inventors

Dubendorf, Switzerland

Yang Zhang