Disney Enterprises, Inc.

Eth Zurich

Eidgenossische Technische Hochschule Zurich

Alexandre Chapiro

Aljoscha Smolic

Tunc Ozan Aydin

Miquel Angel Farre Guiu

Marc Junyent Martin

Markus Gross

Nikolce Stefanoski

Simone Croci

Anthony M Accardo

Robert Walker Sumner

Aljosa Aleksej Andrej Smolic

Simon Heinzle

Jordi Pont-Tuset

Seth Frey

Jordi Pont-Tusert

Steven Charles Poulakos

Rafael Huber

Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is 'continuous dynamic range' (CDR) content&#x2014;a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Methods for creating and distributing art-directable continuous dynamic range video

A storyboard interface displaying key frames of a video may be presented to a user. Individual key frames may represent individual shots of the video. Shots may be grouped based on similarity. Key frames may be displayed in a chronological order of the corresponding shots. Key frames of grouped shots may be spatially correlated within the storyboard interface. For example, shots of a common group may be spatially correlated so that they may be easily discernable as a group even though the shots may not be temporally consecutive and/or or even temporally close to each other in the timeframe of the video itself.

Systems and methods for automatic key frame extraction and storyboard interface generation for video

Techniques of depth modification for display applications are disclosed. A multiscopic video frame, including at least first and second images depicting a scene, is received. Depth information pertaining to the multiscopic video frame is received. A depth mapping function is determined based on one or more image characteristics of the multiscopic video frame, other than depth. The depth information is modified based on the depth mapping function. At least a third image is generated based on the modified depth information and based further on at least one of the first and second images, where the third image is output for display.

Depth modification for display applications

Systems, methods, and computer program products to perform an operation comprising computing a saliency value for a video based on saliency values a set of pixels in each frame of the video, computing, for the video, an expected value for a metric by a predictive algorithm based on the saliency value for the video, and outputting the expected value for the metric as an indication of an expected outcome for the metric achieved by the video.

Visual salience of online video as a predictor of success

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Zurich, Switzerland

Alexandre Chapiro