Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Systems, methods, and computer readable media for messaging system with augmented reality (AR) makeup are presented. Methods include processing a first image to extract a makeup portion of the first image, the makeup portion representing the makeup from the first image and training a neural network to process images of people to add AR makeup representing the makeup from the first image. The methods may further include receiving, via a messaging application implemented by one or more processors of a user device, input that indicates a selection to add the AR makeup to a second image of a second person. The methods may further include processing the second image with the neural network to add the AR makeup to the second image and causing the second image with the AR makeup to be displayed on a display device of the user device.

Techniques are disclosed for performing video synthesis of audiovisual content. In an example, a computing system may determine first parameters of a face and body of a source person from a first frame in a video shot. The system also determines second parameters of a face and body of a target person. The system determines that the target person is a replacement for the source person in the first frame. The system generates third parameters of the target person based on merging the first parameters with the second parameters. The system then performs deferred neural rendering of the target person based on a neural texture that corresponds to a texture space of the video shot. The system then outputs a second frame that shows the target person as the replacement for the source person.

Techniques are disclosed for performing video synthesis of audiovisual content. In an example, a computing system may determine first parameters of a face and body of a source person from a first frame in a video shot. The system also determines second parameters of a face and body of a target person. The system determines that the target person is a replacement for the source person in the first frame. The system generates third parameters of the target person based on merging the first parameters with the second parameters. The system then performs deferred neural rendering of the target person based on a neural texture that corresponds to a texture space of the video shot. The system then outputs a second frame that shows the target person as the replacement for the source person.

A method including providing a sensor device including one or several sensors. The sensor device is arranged to perform at least one high-power type measurement and at least one low-power type measurement and includes at least one image sensor arranged to depict a person by a measurement of said high-power type. Each of the low-power type measurements over time requires less electric power for operation as compared to each of the high-power type measurements. The method includes detecting a potential presence of the person using at least one of said low-power type measurements. The method includes producing, using one of the high-power type measurements, an image depicting a person and detecting a presence of the person based on im-age analysis of the image. The method includes detecting, using at least one of the low-power type measurements, a maintained presence of the person. The method includes failing to detect a maintained presence of the person.

A method including providing a sensor device including one or several sensors. The sensor device is arranged to perform at least one high-power type measurement and at least one low-power type measurement and includes at least one image sensor arranged to depict a person by a measurement of said high-power type. Each of the low-power type measurements over time requires less electric power for operation as compared to each of the high-power type measurements. The method includes detecting a potential presence of the person using at least one of said low-power type measurements. The method includes producing, using one of the high-power type measurements, an image depicting a person and detecting a presence of the person based on im-age analysis of the image. The method includes detecting, using at least one of the low-power type measurements, a maintained presence of the person. The method includes failing to detect a maintained presence of the person.

A method of generating a modified video file using one or more processors is disclosed. The method comprises detecting objects that are represented in an original video file using computer vision object-detection techniques, determining object motion characteristics for the detected objects, based on a specific object motion characteristic for a specific detected object meeting certain requirements, selecting a corresponding audio or visual effect, and applying the corresponding visual effect to the original video file to create the modified video file.

The present disclosure describes a system which is able to detect and recognize wildlife, and in particular birds, using camera images. The present solution is comprised of algorithms, software and integrated hardware devices. Properly equipped, the system can be made to be portable and can be set up at any location for different wildlife detection and repelling purposes.

The present disclosure describes a system which is able to detect and recognize wildlife, and in particular birds, using camera images. The present solution is comprised of algorithms, software and integrated hardware devices. Properly equipped, the system can be made to be portable and can be set up at any location for different wildlife detection and repelling purposes.

Systems and methods for timing recovery in DNA storage systems is described. In one embodiment, the present systems and methods include generating a unique pattern of DNA bases and use the unique pattern for a phase-locked loop (PLL) field of a data layout, generating a multidimensional mapping, configuring the multidimensional mapping to include one or more prohibited sequences of DNA bases, identifying a prohibited sequence from the multidimensional mapping and use the prohibited sequence for one or more synch-mark (SM) fields of the data layout, prohibiting a User Data field from using any of the prohibited sequences of DNA bases when converting binary data to DNA bases, identifying random insertion and/or deletion of DNA bases in the User Data field, and repairing the random insertion and/or deletion of DNA bases in the User Data field.