Motorola Mobility LLC

Rahul Bharat Desai

Amit Kumar Agrawal

Mauricio Dias Moises

Olivier David Meirhaeghe

Renuka Prasad Herur Rajashekaraiah

Srikanth Raju

Bill Ryan

Boby Iyer

Alexandre Novaes Olivieri

Fabio Felipe Mira Machuca

Hariprasad Shanbhogue Alampady

Alexandre Neves Creto

Kevin Foy

William Ryan

Mina Kim

Rohan S Prabhu

Chekit R Mehta

In aspects of display photo update recommendations, a catalyst is identified for updating a display photo of a user on a social media website. Further, a first collection of photos that are associated with the catalyst are retrieved from a photo gallery maintained in memory of a computing device. Using a machine learning model trained on a second collection of display photos utilized by connections of the user on the social media website, one or criteria are determined for display photos. Moreover, candidate display photos that satisfy the one or more criteria are identified from the first collection of photos and output to the photo gallery.

Display photo update recommendations

Techniques for gaze-based video conference prompts are described that leverage eye-tracking algorithms within a video conference setting to perform a variety of functionality. For instance, a computing device displays a user interface of a video conference session that includes representations of video conference attendees. The computing device receives video content that depicts a user of the computing device and uses eye tracking techniques to determine a gaze location of the user based on the video content. The gaze location corresponds to one of the representations of an attendee. The computing device then communicates a prompt to one or more of the attendees that indicates the gaze location. In another example, the computing device detects a behavior of the user, e.g., a scanning behavior. Responsive to detection of the behavior, the computing device performs an action within the user interface, such as to display a roster view of the attendees.

Gaze-based video conference prompts

Techniques for personalized product recommendations based on an itinerary are described and are implementable to generate a recommendation for a good and/or service based on product data associated with a destination. The described implementations, for instance, enable generation of a recommendation for a user to acquire the good and/or service prior to visiting the destination based on digital content associated with the destination. The described implementations further enable generation of synthetic digital content that depicts the user at the destination with the good and/or service. Additionally, the techniques described herein include a monitoring system that is operable to detect a development related to the destination, and generate an updated recommendation based on the development.

Personalized product recommendations based on an itinerary

A computing device includes at least one camera system. When the camera application is running, the scene from the at least one camera system is analyzed to identify one or more barcodes in the scene. In some situations, multiple barcodes encoding payment links are identified in the scene. In such situations, for each of the multiple barcodes encoding payment links, the barcode is displayed along with the payment link encoded in the barcode and a description of the payment link (e.g., a name of the digital wallet corresponding to the payment link). Various additional information to help the user select one of the payment links may also be displayed, such as a current balance in the digital wallet corresponding to the payment link, rewards for using the digital wallet, discounts for using the digital wallet, and so forth.

Facilitating user selection of one of multiple barcodes in a camera system field of view

An electronic device, method, and computer program product optimize automatic backups by aggregating remotely generated media content for automatic backup. The electronic device receives, from image capturing device(s), local media content including image(s) and/or video(s). The electronic device performs content recognition to identify local object(s) contained in the local media content. The electronic device monitors execution of a media application that accesses remote media content and performs content recognition to identify object(s) contained in the remote media content. In response to determining that remote media content contains object(s) that is also identified in the local media content, stores the remote media content in a data structure in memory. The electronic device uploads, via a communication network to a network storage service, all media content stored in the data structure.

Aggregating shared image/video content for cloud backup

Techniques for user image presentation based on region priority are described and are implementable to enable an image of a user to be inserted into media content. For instance, media content is generated that includes at least one high priority region and at least one low priority region. Further, a user image is captured to be inserted into the media content. Accordingly, the user image is inserted into the at least one low priority region to avoid obstructing high priority visuals displayed within the at least one high priority region.

User image presentation based on region priority

An electronic device, a method and a computer program product enable capturing of an image by a first camera in response to detecting a gesture by a second camera. The method includes, in response to activating a first camera having a first field of view (FOV) to an image capturing mode, activating the second camera to capture an image stream within a second FOV that is wider than the first FOV. The method further includes monitoring the image stream to detect movements and identifying a gesture among movements detected within the image stream. The method further includes determining that the gesture is associated with triggering the first camera to capture images within the first FOV and in response to determining that the gesture is associated with triggering the first camera to capture images within the first FOV, capturing, via the first camera, a first image within the first FOV.

Multi-camera electronic device with automatic image capture based on gesture detection

A method provides techniques for selecting a camera based on light blockage of the camera lens. The method includes monitoring, by at least one processor of an electronic device an amount of light impinging on each of a first lens of a first image capturing device and a second lens of a second image capturing device. The method includes, in response to detecting the blockage of light entering a lens of one of the at least two image capturing devices, and the blockage occurring for a duration exceeding a preset time, setting, as an active image capturing device among the at least two image capturing devices, a selected one of the at least two image capturing devices having a corresponding lens at which the blockage is detected.

Camera selection based on light blockage

An electronic device, a method and a computer program product for controlling multiple cameras. The method includes detecting, via at least one processor, activation of a first camera of an electronic device to capture a first image incorporating a first region of interest within a field of view of the first camera and in response to detecting selection of a dual camera superimposed selfie capture mode for completing the image capture, capturing, via the first camera, the first image that includes the first region of interest. The method further includes contemporaneously capturing, via a second camera, a second image containing at least one face, cropping a facial image comprising the at least one face from the second image and superimposing the facial image onto the first image to generate a first composite image.

Capturing self-photo images using a multi-camera electronic device

An electronic system, a method, and a computer program product support wireless communication with reduced distraction for a driver experiencing challenging driving conditions. The method includes communicating, via a communication subsystem of an electronic system and via a communication network, with a first electronic device participating in a communication session with at least one second electronic device, the communication session hosted by the electronic system. In response to determining that the first electronic device is being used by a driver in a vehicle, the method includes: receiving data about the first electronic device that indicates whether current driving conditions allow the driver to communicate without degrading driving performance; and restricting transmission of new communication inputs from the communication session to the first electronic device to reduce distractions to the driver when the received data indicates the driver is potentially in a challenging driving condition.

Reducing distractions caused by a communication session with a remote device that is used during driving

An electronic device, method, and computer program product optimize automatic backup of locally stored media content such as videos and images by identifying and locally caching low quality content rather than automatically backing up to reduce network storage. Image capturing device(s) of the electronic device generates media content of at least one of images and videos. A controller of the electronic device receives the media content from the image capturing device(s). The controller determines a quality value of the media content and stores the media content in a cache data structure in memory. The controller stores, in a digital camera image data structure in the memory, media content having a quality value that is greater than or equal to a minimum quality threshold level. The controller uploads, via a communication network to a network storage service, the portion of the media content stored in the digital camera image data structure.

Pre-filtering locally stored image/video content for cloud backup

A monitoring system incorporates, and method and computer program product provide a monitoring system that captures image stream of regions of interest based on identified facial cues of a person. A controller of the monitoring system receives a first image stream that encompasses a face of a person and a second image stream that encompasses surrounding object(s) and surface(s) viewable by the person. The controller detects a facial expression of the face. In response to determining that the facial expression is a mood associated expression, the controller determines, from the first image stream, an eye gaze direction of the person. The controller determines a region of interest (ROI) aligned with the eye gaze direction. The controller captures the second image stream and identifies an object contained within the ROI. The controller communicates a notification including the expression and the object within the ROI to an output device.

Monitoring system that captures image stream of regions of interest based on identified facial cues

A monitoring system incorporates, and a method and a computer program product provide image projection of content of subjective interest to a person, responsive to a detected mood of the person. A controller of the monitoring system receives image stream(s) from a camera system, including a first image stream encompassing a face of a person. The controller compares facial expressions within the first image stream with facial expression trigger(s) in a visual object library. In response to determining that the first image stream includes facial expression trigger(s) among the visual object library, the controller determines one or more objects in the visual object library having an associated interest value, in a preference tracking data structure, above a threshold soothing value corresponding to the person. The controller triggers an image projector to present the object(s) within the field of view of the person to respond to the facial expression trigger.

Monitoring system with image projection of content of subjective interest to a person

A computing device includes multiple camera systems each having one or both of a different field of view or a focus range. For example, the computing device may include a telephoto camera system, a wide angle camera system, an ultra-wide angle camera system, and a macro camera system. When a camera application is running, the scenes from each of the multiple cameras are automatically analyzed to determine whether a barcode (e.g., a 1-dimensional barcode or a 2-dimensional barcode, also referred to as a QR code) is included in one of the scenes. If a barcode is included in the scene from a particular camera system, that camera system is selected and one or more actions are taken (e.g., the barcode is displayed by the computing device, information embedded in the barcode is displayed, and so forth).

Barcode detection using a multi-camera system

A method in an electronic device includes detecting, with one or more processors, initiation of an image capture operation using an image capture device situated on a first surface of the electronic device and having a first field of view extending away from the first surface in a first direction. In response to detecting the initiation of the image capture operation, the method includes actuating a second image capture device situated on a second surface of the electronic device and having a second field of view extending away from the second surface in a second direction. The method then captures image content with the second image capture device and presenting the image content on a display situated on the first surface of the electronic device. Thereafter, the one or more processors capture at least one image with the first image capture device.

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Hoffman Estates, IL, United States of America

Rahul Bharat Desai