Microsoft Technology Licensing, LLC

Mahesh Sridharan

Abhishek Agarwal

Onkar Nath Tiwari

Sachin Talreja

Rahul Bhuptani

Rajiv Kumar

Praveen Upadhyay

Anish Chandran

Bijoy Raveendran

Jagdish Singh

Arun Rajappa

Anubhav Mehendru

Pankaj Aher

Sejal Sharma

Sunny Mitra

Swadheen Shukla

Aloka Sanjib Kumar Mitra

Anurag Rao

Mitali Jain

Sanjib Biswas

Paramveer Singh Sisodia

Netal Gupta

Techniques for annotating electronic content items include receiving over a communication network a first request to associate a first tag from among a plurality different of tags with first electronic content, wherein each tag from among the plurality of tags is: configured to label electronic content, and associated with a respective task from among a plurality of tasks; recording, in response to receiving the first request, a first association between the first electronic content and the first tag; and transmitting over the communication network to a first recipient client: the first electronic content, and an instruction to the first recipient client to cause the first recipient client to execute, in response to receiving the first electronic content, the respective task associated with the first tag on the first electronic content.

Extensible framework for executable annotations in electronic content

An image captured by a camera can be processed by a scanning application to identify multiple regions within the image that are suitable for scanning. These regions can be detected and selected for scanning automatically. The captured regions for the single image can be stored as individual image content files.

Multi-region image scanning

Insertion of an executable command or instructions in the form of an annotation to electronic content, such that the receiver can benefit from a more precise and detailed context as they interpret and/or act on the sender's request. The system can, upon detecting an appropriate trigger, be configured to 'translate' or convert the annotation across multiple applications and platforms and perform one or more tasks that facilitate the receiver's access to and interaction with the item. The sender enjoys a much finer control over the manner, presentation, and overall context of the electronic content item as it is shared, and becomes able to offer the receiver a more precise understanding of their own intentions in sharing this item. Similarly, a receiver can be guided toward actions or responses that are expected or desired by the receipt of the electronic content item.

A series of frames or live images received by a camera can be processed by an automatic image capture system to determine when an automatic image capture should take place. The system can detect when a scene change occurs by comparison of data for two or more frames. If a scene change is followed by a stabilization of the scene, the system can trigger an auto-capture of the stabilized scene, without the need for user input.

Using change of scene to trigger automatic image capture

An image captured by a camera can be processed by a scanning application to identify one or more regions within the image that are suitable for scanning. One or more of these regions can be selected for scanning automatically based on user-input such as a fingertip touch to a particular portion of the display screen. Users may also select multiple regions and submit multiple quadrangular regions for scanning to PDF from a single image.

Multi-region detection for images

A contact-note application is disclosed herein that runs in a computing device. When a phone call event occurs, the contact-note application is notified and responsively surfaces a prompt over a user interface to a phone call application. When the prompt is selected, the contact-note application surfaces a user interface to the contact-note application. The user interface provides the end-user with a view of a note associated with a contact on the phone call such that they user may create, edit, and consume the note.

Contact-note application and services

A series of frames or live images received by a camera can be processed by an automatic image capture system to determine when an automatic image capture should take place. The system can detect when a scene change occurs by comparison of data for two or more frames, and for particular regions in those frames. If a scene change for the specified region is followed by a stabilization of the scene in that region, the system can trigger an auto-capture of at least the stabilized region of the scene, without the need for any user input.

Automatic image capture mode based on changes in a target region

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Hyderabad Telangana, India

Mahesh Sridharan