Apple Inc.

Lucasfilm Entertainment Company Ltd.

Piotr J Stanczyk

Graham R Clarke

Paul Thomas Schneider

Andre Souza Dos Santos

William A Sorrentino, Iii

Behkish J Manzari

Wayne Loofbourrow

Joseph A Malia

Seyyedhossein Mousavi

Jens Jacob Pallisgaard

Joshua Blake Shagam

Toke Jansen

Jason Klivington

Etienne H Guerard

Saumitro Dasgupta

Arwen V Bradley

Rudolph Van Der Merwe

Jeffrey A Brasket

Jacques P Gasselin De Richebourg

Charles A Mezak

Yang Yang

Johnnie B Manzari

Vignesh Jagadeesh

Matan Stauber

Amir Hoffnung

Douglas P Mitchell

Emilie Kim

Kent Oberheu

Afshin Dehghan

Walker J Eagleston

Vasilios E Anton

Shuang Gao

Robert A Bailey

Etienne Guerard

Ran Margolin

Agnes Nemeth

Edward Hanway

Patrick Tubach

Mikko Berggren Ettienne

Stephen J Ward

Sanaa Squalli

Joe Triscari

Hjalte Wedel Vildhoej

Sébastien Beysserie

William A Sorrentino Iii

André Souza Dos Santos

A method of image processing is disclosed herein, the method comprising: obtaining a first image comprising a first plurality of pixels; obtaining a first segmentation map for the first image, wherein the first segmentation map comprises a first plurality of segmentation values; performing a histogram analysis on the first plurality of pixels, wherein the histogram analysis is weighted based on each pixel's corresponding segmentation value in the first segmentation map, and wherein the histogram analysis comprises determining at least: (a) a median luminance value for pixels that are estimated (e.g., based on their segmentation values) to be part of the background of the first image; and (b) one or more dominant hues for pixels estimated to be part of the background of the first image; and suggesting a first image treatment for the first image based on the determined median luminance value and/or the determined one or more dominant hues.

Automatic image treatment suggestions based on color analysis

The present disclosure generally relates to user interfaces for altering visual media. In some embodiments, user interfaces capturing visual media (e.g., via a synthetic depth-of-field effect), playing back visual media (e.g., via a synthetic depth-of-field effect), editing visual media (e.g., that has a synthetic depth-of-field effect applied), and/or managing media capture.

User interfaces for altering visual media

Devices, methods, and non-transitory program storage devices are disclosed to provide for the application of color treatments and/or color normalization operations to digital assets (DAs) in a set of DAs that are to be displayed as part of a multimedia presentation. The determination of the color treatment may be based on comparing one or more characteristics of an audio media item associated with the set of DAs to a corresponding one or more characteristics of a plurality of predetermined color treatments. Color normalization may be applied to the set of DAs prior to the determined color treatment. Techniques disclosed herein may also determine one or more parameters for a multimedia presentation of the set of DAs based on a characteristic of the associated audio media item. The parameters for the multimedia presentation may comprise one or more of: preferred DA sequences, portions, clusters, layouts, themes, transition types, or transition durations.

Color treatment and color normalization for digital assets

Techniques are disclosed for editing captured media to overcome operational difficulties that may arise during capture operations. According to these techniques, content may be captured with a pair of cameras, a first camera having a wider field of view than a second camera. Object(s) may be detected from captured content from the wider field of view camera. The captured content may be processed from the wider field of view camera in a location of at least one detected object. Typically, operators may attempt to frame content using content from the narrower field of view camera. As a result, operators may be unaware that desired content is captured using a second, wider field of view camera. Results from the processed wider field of view data may be proposed to operators for review and, if desired, retention.

Video analysis and management techniques for media capture and retention

Techniques and devices for generating multiple output video variations for an input video based on a shared resource architecture. The shared resource architecture reuses and shares computational and gating results from one or more operations to create the multiple output video variations. The shared resource architecture applies a frame-time normalization of the trimmed and stabilized video to produce a trimmed stabilized normalized video and, thereafter, uses the trimmed stabilized normalized video to precompute one or more video parameters that can be shared with multiple output video variations. The shared resource architecture can then generate multiple output video variations using the shared video parameters.

Seamless output video variations for an input video

Techniques and devices for creating a Forward-Reverse Loop output video and other output video variations. A pipeline may include obtaining input video and determining a start frame within the input video and a frame length parameter based on a temporal discontinuity minimization. The selected start frame and the frame length parameter may provide a reversal point within the Forward-Reverse Loop output video. The Forward-Reverse Loop output video may include a forward segment that begins at the start frame and ends at the reversal point and a reverse segment that starts after the reversal point and plays back one or more frames in the forward segment in a reverse order. The pipeline for the generating Forward-Reverse Loop output video may be part of a shared resource architecture that generates other types of output video variations, such as AutoLoop output videos and Long Exposure output videos.

Seamless forward-reverse video loops

Visually representing a composite graph of image functions includes providing a visual representation of a composite graph for an image, the visual representation including first items corresponding to respective image functions, and second items corresponding to containers for image functions, the image to be rendered by performing the image functions in an order defined by the composite graph. The user selects an expansion mode for presenting contents of a first container, each of the containers having a first expansion mode wherein the contents are displayed generally adjacent the visual representation, and a second expansion mode where the contents are displayed generally within the visual representation. A modified visual representation of the composite graph is provided in response to the input, wherein the modified visual representation maintains the order of the image functions defined by the composite graph and has the first container expanded according to the selected expansion mode.

Visually representing a composite graph of image functions

Growing community of inventors

San Francisco, CA, United States of America

Piotr J Stanczyk