H04N5/265

Personalized videos featuring multiple persons

Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

Personalized videos featuring multiple persons

Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

Continuous video generation from voice data

One example method includes capturing audio data at a client engine while outputting an output video, the output video being based upon an original video stored at the client engine, delivering the captured audio data to a prediction engine upon the captured audio data being captured for a pre-determined time, receiving from the prediction engine substitute frame data used by the client engine to stitch one or more frames into the original video stored at the client engine, and following stitching the one or more frames into the output video to generate an altered output video, outputting the captured audio data and the altered video from the client engine.

Continuous video generation from voice data

One example method includes capturing audio data at a client engine while outputting an output video, the output video being based upon an original video stored at the client engine, delivering the captured audio data to a prediction engine upon the captured audio data being captured for a pre-determined time, receiving from the prediction engine substitute frame data used by the client engine to stitch one or more frames into the original video stored at the client engine, and following stitching the one or more frames into the output video to generate an altered output video, outputting the captured audio data and the altered video from the client engine.

SYSTEMS AND METHODS FOR GENERATING DEPTH MAPS USING A CAMERA ARRAYS INCORPORATING MONOCHROME AND COLOR CAMERAS

A camera array, an imaging device and/or a method for capturing image that employ a plurality of imagers fabricated on a substrate is provided. Each imager includes a plurality of pixels. The plurality of imagers include a first imager having a first imaging characteristics and a second imager having a second imaging characteristics. The images generated by the plurality of imagers are processed to obtain an enhanced image compared to images captured by the imagers. Each imager may be associated with an optical element fabricated using a wafer level optics (WLO) technology.

SYSTEMS AND METHODS FOR GENERATING DEPTH MAPS USING A CAMERA ARRAYS INCORPORATING MONOCHROME AND COLOR CAMERAS

A camera array, an imaging device and/or a method for capturing image that employ a plurality of imagers fabricated on a substrate is provided. Each imager includes a plurality of pixels. The plurality of imagers include a first imager having a first imaging characteristics and a second imager having a second imaging characteristics. The images generated by the plurality of imagers are processed to obtain an enhanced image compared to images captured by the imagers. Each imager may be associated with an optical element fabricated using a wafer level optics (WLO) technology.

Systems and Methods for High Dynamic Range Imaging Using Array Cameras

Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images.

Systems and Methods for High Dynamic Range Imaging Using Array Cameras

Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images.

OBJECT OR AREA BASED FOCUS CONTROL IN VIDEO
20180013949 · 2018-01-11 ·

Embodiments are directed to an electronic device including a camera module capturing a video, a memory, and a processor sequentially storing, in the memory, each of a plurality of frames respectively focused during the video capture on a plurality of frame areas selected from the video.

OBJECT OR AREA BASED FOCUS CONTROL IN VIDEO
20180013949 · 2018-01-11 ·

Embodiments are directed to an electronic device including a camera module capturing a video, a memory, and a processor sequentially storing, in the memory, each of a plurality of frames respectively focused during the video capture on a plurality of frame areas selected from the video.