Samsung Electronics Co., Ltd.

Hanna Fuhrmann

Imran Mohammed

Sajid Hassan Sadi

Curtis D Aumiller

Cathy Kim

Jihee Kim

Marc Estruch Tena

Jun Yeon Cho

Lin Sun

Kushal Kardam Vyas

Dean N Reading

Catherine S Kim

Fulya Yilmaz

Kathleen Sofia Hajash

Ye Zhao

Thomas Brenner

Megan Rowe

Abhijit Balaji

In one embodiment, a method includes accessing an initial image and applying each image filter from a set of one or more N image filters to the initial image to create N filtered images. The method further includes generating a similarity metric for each pair of images in a set of images comprising the initial image and the N filtered images and determining, based on the similarity metrics, a placement of each image in the set of images within an image-filter space. The method further includes generating, based on the image-filter space, a selectable image-filter interface; and providing the selectable image-filter interface for display, wherein each selectable region of the selectable image-filter interface is associated with a particular filtering of the initial image.

Image-filtering interface

In one embodiment, a method includes maintaining a video communication between client devices with each being associated with a respective video stream, which is associated with a respective match scale measured based on a height of frames of the video stream and a depth of subjects within the frames, determining a respective scaling factor and cropping for each video stream, wherein the respective scaling factor is calculated based on the match scale associated with the corresponding video stream and a target match scale determined from the match scales associated with all video streams, and wherein the respective cropping is determined based on a uniformity of positions of the subjects within the frames across all video streams, generating a merged video stream from each video stream based on the respective scaling factor and cropping, and sending instructions for presenting the merged video stream to one or more of the client devices.

Systems and methods for multi-user video communication with engagement detection and adjustable fidelity

In one embodiment, a method includes accessing an input image associated with an initial illumination, extracting from the input image at least a first, a second, and a third mono-channel images based on a first, a second, a third image channel, respectively, determining a first, a second, and a third correction for the first, second, and third mono-channel images with a first, a second, and a third correction algorithm, respectively, generating a first, a second, and a third corrected mono-channel image by applying the first, second, and third correction to the first, second, and third mono-channel image, respectively, and generating an output corrected image corresponding to the input image based on the first, second, and third mono-channel corrected images, wherein the output corrected image is associated with a corrected illumination with respect to the initial illumination.

Systems and methods for lightweight machine learning for image illumination control

In one embodiment, a method includes maintaining a video communication between two or more client devices with each client device comprising cameras and being associated with a respective video stream in the video communication, determining scene data within a field of view in a real-world environment captured by one or more of the cameras of a first client device of the two or more client devices, determining a privacy filter to apply to a first video stream associated with the first client device based on the scene data, and providing instructions to apply the privacy filter to the first video stream in the video communication.

Systems and methods for implementing privacy filters with variable obfuscation for video communications

Growing community of inventors

San Francisco, CA, United States of America

Hanna Fuhrmann