Apple Inc.

Jack R Greasley

Bradley Warren Peebler

Ian M Richter

Daniel Ulbricht

Eshan Verma

Philip Simmons

Jeremy Ray Bernstein

Brian Erik Goldberg

Eric A Soulvie

Philip Michael Simmons

Various implementations disclosed herein include devices, systems, and methods for per-pixel filtering. In some implementations, a method includes obtaining an image data frame. In some implementations, the image data frame includes a plurality of pixels. In some implementations, the method includes generating a respective pixel characterization vector for each of the plurality of pixels. In some implementations, each pixel characterization vector includes an object label indicating an object type that the corresponding pixel of the plurality of pixels represents. In some implementations, the method includes modifying corresponding pixel data of the plurality of pixels having a first object label. In some implementations, the method includes synthesizing a first modified image data frame that includes modified pixel data for the plurality of pixels having the first object label and unmodified pixel data for the plurality of pixels not having the first object label.

Per-pixel filter

In some implementations, a method includes obtaining a virtual object kit that includes a set of virtual object templates of a particular virtual object type. In some implementations, the virtual object kit includes a plurality of groups of components. In some implementations, each of the plurality of groups of components is associated with a particular portion of a virtual object. In some implementations, the method includes receiving a request to assemble a virtual object. In some implementations, the request includes a selection of components from at least some of the plurality of groups of components. In some implementations, the method includes synthesizing the virtual object in accordance with the request.

Virtual object kit

Various implementations manage an electronic asset by creating a representation of an electronic asset and its variants. This may be accomplished by identifying variants of an electronic asset, identifying a portion of a feature space associated with the asset and variants, and providing a representation corresponding to that portion of feature space. A fixed function classifier may be used to determine the points in the feature space for the electronic asset and its variants. The set of points produced for an asset and its variants using such a fixed function classifier will be near one another in feature space. Moreover, the area around such points will also represent points for other similar variations of the asset and thus, the portion of the feature space around the points can be considered the area of ownership for the electronic asset, e.g., it defines a boundary of what the creator is asserting is his or her creation.

Electronic asset management

Various implementations disclosed herein include devices, systems, and methods for performing scene-to-text conversion. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes obtaining environmental data corresponding to an environment. Based on the environmental data, a plurality of objects that are in the environment are identified. An audio output describing at least a first object of the plurality of objects in the environment is generated based on a characteristic value associated with a user of the device. The audio output is outputted.

Scene-to-text conversion

Various implementations disclosed herein include devices, systems, and methods for performing content generation based on audience engagement. In some implementations, a method includes presenting a first portion of content. Engagement data is obtained for an audience comprising a plurality of persons while the first portion of the content is presented. Based on the engagement data, a collective engagement level of the audience is determined for the first portion of the content. A second portion of the content that has not been presented is adjusted based on the collective engagement level of the audience for the first portion of the content in order to satisfy an engagement threshold. After adjusting the second portion of the content, the second portion of the content is presented to the audience.

Content generation based on audience engagement

In various implementations, a method includes obtaining a first virtual object kit that corresponds to a first virtual object type. In various implementations, the method includes obtaining a second virtual object kit corresponding to a second virtual object type that is different from the first virtual object type. In various implementations, the method includes merging the first virtual object kit and the second virtual object kit in order to form a third virtual object kit. In some implementations, the third virtual object kit includes a set of virtual object templates of a third virtual object type that is different from the first virtual object type and the second virtual object type. In some implementations, the third virtual object kit includes a plurality of groups of components associated with respective portions of a virtual object.

Merging virtual object kits

In some implementations, a method includes obtaining a set of preselected attribute values for an objective-effectuator. In some implementations, the method includes while displaying a user interface including a plurality of configuration control affordances provided to effect configuration of one or more attributes characterizing the objective-effectuator, in response to receiving an input indicative of manipulation of a first configuration control affordance, setting a corresponding first attribute to a particular preselected attribute value, and modifying display of the plurality of configuration control affordances in order to change the number of the plurality of configuration control affordances displayed. In some implementations, the method includes configuring the objective-effectuator at least based on the particular preselected attribute value of the first attribute. In some implementations, the objective-effectuator is associated with a set of predefined actions.

Growing community of inventors

Mill Valley, CA, United States of America

Jack R Greasley