Adobe, Inc.

Ram Narain Yadav

Michael Iampietro

Abhinav Darbari

Ramesh P B

Arvinder Singh

Abhishek Shah

Sharad Baliyan

P B Ramesh

Ramesh Pb

Steven Johnson

Brajesh Kumar

Sarandeep Singh

Yogita Bhalla

Rendering content in a graphical user interface (GUI) is disclosed. A region of a GUI is defined as a graphical object. The graphical object corresponds to content. Input is received from an input device. The received input identifies a location on the GUI. The location is in spatial proximity to the defined region of a graphical object. In response to receiving such input, the content corresponding to the graphical object is rendered in the defined region of the GUI. The content may be rendered only in a subset of the defined region of the GUI. Further input, such as input corresponding to a particular location on the GUI, or input corresponding to a change in locations on the GUI in a particular direction, may be received, causing one or more commands to be executed on the rendered content.

Rendering of content in a defined region of a graphical user interface

A computer implemented method and apparatus for defining an event schedule comprises displaying at least three objects representing events, where a first event schedule is defined using a plurality of line segments interconnecting the at least three objects. Each line segment interconnects two objects enabling at least one line segment to be redirected to connect a different object, upon redirection of the at least one line segment, automatically reordering sequence of the events in the first event schedule to form a second event schedule.

Method and apparatus for defining an event schedule

Generating smart tags that allow a user to locate any portion of image content without viewing the image content is disclosed. Image-based processing is performed on image content to find an event of interest that is an occurrence captured by the image content. Thus, metadata is derived from analyzing the image content. The metadata is then analyzed. Different types of characteristics associated with portions of the image content as indicated by the metadata are detected. Responsive to this, tags are created, and different types of tags are applied to the portions of image content to categorize the portions into classes. Thus, a tag is associated with each portion of the image content including the event of interest. The tag describes a characteristic of that portion of the image content. Display of the different types of tags is initiated for selective viewing of the portions of the image content.

Generation of smart tags to locate elements of content

Embodiments herein include presenting smart tags describing characteristics of image content in a hierarchy, and performing operations on the hierarchy to find particular image content within a larger amount of image content. Image content and corresponding tags are maintained. The corresponding tags associated with the image content are presented in a hierarchy. Each tag type in the hierarchy represents a characteristic associated with the image content. Each tag in the hierarchy is derived based on image-based processing applied to the image content. In response to receiving a selection of at least one tag in the hierarchy, display of the image content associated with the at least one tag is initiated. A user is able to quickly and easily find desired image content by using the hierarchy to look at tags, select a type of tag from the hierarchy, and thereafter view any content tagged with the selected tag type.

Management of smart tags via hierarchy

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Uttar Pradesh, India

Ram Narain Yadav