Adobe, Inc.

Charan Raj

Anand Samuel Edwin

Komal Kumar Desai

Senthilkumar PanneerSelvam

Jyothi Krishna V S

Rahul Kumar Agrawal

Device context-based user interface techniques are described. In one or more embodiments, a context is determined for a device based on a configuration of hardware associated with the device. When the configuration of hardware associated with the device changes, the context of the device may also change. Based on the determined context of the device, a user interface configuration may be selected for display. For example, when the device is connected to a mouse or a keyboard a user interface configuration may be selected that facilitates interactions performed substantially with a mouse and keyboard. However, when a mouse and keyboard are not connected to the device, but touch functionality of the device is used, a user interface configuration may be selected that facilitates interactions performed substantially using the touch functionality. A user interface for an application may be configured using the selected user interface configuration.

Device context-based user interface

Content aware cropping techniques are described in which a combined crop and fill operation may be performed in one-step using an automated workflow. In one or more implementations, an image is exposed for editing in a user interface and input is obtained that indicates a position for a crop frame to select a portion of the image. The crop frame may be employed as a basis for a combined crop and fill operation that is initiated by a single input or trigger that causes a sequence of actions to automatically crop the image, recognize portions of empty pixels to fill, apply a content aware fill algorithm, and produce a resulting output image. In one or more implementations, a size of the crop frame may be controlled to maintain at least one of image size, aspect ratio, or pixel resolution.

Content aware cropping

A computer implemented method and apparatus for identifying a desired object of an image by using a suggestive marking. The method comprises receiving a first marking to an image, the first marking suggesting a desired object of the image and the desired object being defined by a boundary; generating, based on the first marking, a plurality of output images, wherein each image of the plurality of output images indicates a computer-identified object; and displaying the plurality of output images.

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Bengaluru, India

Charan Raj