Adobe, Inc.

Ankur Murarka

Amit Gaurav

Praveen Kumar Dhanuka

Padmassri Chandrashekar

Subham Gupta

Arihant Jain

Mohammad Javed Ali

Mudit Rastogi

Roshan Singh

Sachin Kumar Saini

Sanjeev Kumar Biswas

Anuradha

Jaideep Jeyakar

Sneha Agarwal

Techniques and systems are described for generating location based photo discovery suggestions. Generally, photo discovery data is generated and utilized to form discovery suggestions that identify suggested locations for capturing photographs, as well as other capture-related information that is presented to assist a user in capturing photographs of interest to the user. A discovery suggestion, for example, not only identifies a location of potential photographic interest to a user, but also includes information such as camera settings and suggested camera equipment for capturing photos at the location. A discovery suggestion thus guides a user as to how to maximize a likelihood that a digital image captured by the user includes subject matter of interest to the user and is also visually pleasing.

Generating location based photo discovery suggestions

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating marked digital images with content adaptive watermarks. In particular, in one or more embodiments, the disclosed systems intelligently evaluate a plurality of watermark configurations to select one or more content adaptive watermarks for one or more target digital images and generate one or more marked digital images by adding the selected content adaptive watermarks to the one or more target digital images.

Generating content adaptive watermarks for digital images

Techniques for updating zoom properties of corresponding salient objects are described that support parallel zooming for image comparison. In an implementation, a zoom input is received involving a salient object in a digital image in a user interface. An identification module identifies the salient object in the digital image and zoom properties for the salient object. A detection module identifies a corresponding salient object in at least one additional digital image and zoom properties for the corresponding salient object in the at least one additional digital image. An adjustment module then updates the zoom properties for the corresponding salient object in the at least one additional digital image based on the zoom properties for the salient object in the digital image.

Updating zoom properties of corresponding salient objects

Embodiments are disclosed for determining scene-based editing recommendations for video content. A method of determining scene-based editing recommendations for video content includes receiving an input video comprising video content, dividing the input video into the plurality of scenes based on the video content, identifying a representative frame for each scene, determining a plurality of editing settings for each representative frame, determining editing settings for each scene based on an effectiveness score, and generating an output video using the input video and the editing settings for each scene.

Scene-based edit suggestions for videos

Methods, systems, and non-transitory computer readable storage media are disclosed for customizing digital content tutorials for a user within a digital editing application based on user experience with editing tools. The disclosed system determines proficiency levels for a plurality of different portions of a digital content tutorial corresponding to a digital content editing task. The disclosed system generates tool proficiency scores associated with the user in a digital editing application in connection with the portions of the digital content tutorial. Specifically, the disclosed system generates the tool proficiency scores based on usage of tools corresponding to the portions. Additionally, the disclosed system generates a mapping for the user based on the tool proficiency scores associated with the user and the proficiency levels of the portions of the digital content tutorial. The disclosed system provides a customized digital content tutorial for display at a client device according to the mapping.

Customizing digital content tutorials based on tool proficiency

A technique for providing intelligent exporting of images is provided. The technique includes receiving information identifying a set of images to be exported and receiving a set of parameter values to be used for exporting the set of images. The technique includes receiving a target total export size value for exporting the set of images. The target total export size indicates a memory size for storing a set of exported images corresponding to the set of images. The technique includes determining an image quality level to be used for exporting the set of images based upon the target total export size value and the set of parameter vales. The technique includes generating a set of exported images corresponding to the set of images. In one example, the set of exported images are generated using the image quality level and the set of one or more parameter values such that a total memory size for storing the set of exported images is within a threshold value of the target total export size.

Intelligent exporting of images using an image editing application

Techniques are provided for a computer processor-implemented method of beautifying an electronic textual document having text organized in a plurality of sections. Each of the sections is representative of a corresponding one of a plurality of textual elements. The method includes: receiving a user selection of the text for beautification, the selected text including at least a portion of one of the sections; classifying the selected text as the corresponding one of the textual elements represented by the one of the sections; ranking a set of attributes applicable to the one of the textual elements; presenting an ordered list of the highest-ranked attributes; in response to receiving a selection of one or more of the presented attributes, applying the selected attributes to the selected text; and reranking the applicable attributes to reflect the selected attributes.

Document beautification using smart feature suggestions based on textual analysis

Techniques and systems are described for contextually filtering font styles. Techniques include identifying font features as filtering parameters to be applied to filter available font styles. The font features are identified automatically in a selected text and/or via user input. Additionally or alternatively, techniques include identifying font attributes as filtering parameters to be applied to filter available font styles. The font attributes are identified automatically in a selected text and/or via user input. After filtering, candidate font styles are presented to a user for selection.

Contextual font filtering in a digital medium environment

Techniques and systems are described to extend text on a path. The path, for instance, may be user specified and configured to control placement of subsequent text in a user interface. During entry of the text, the computing device detects that the text inputs overflow the input path. In response, the computing device generates a path that is linked to the input path to include the text that is to overflow the input path, e.g., through the use of threading. The generated path is then plotted in the user interface for inclusion of the overflow of text in the user interface, such as to mimic a shape of the input path after translation or scaling at the translated location.

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Bengaluru, India

Ankur Murarka