Amazon Technologies, Inc.

Samsung Electronics Co., Ltd.

Corephotonics Ltd.

Ido Yerushalmy

Ianir Ideses

Eli Alshan

Noam Sorek

Sharon Alpert

Dotan Kaufman

Mark Kliger

Liza Potikha

Eduard Oks

Michael Chertok

Ephraim Goldenberg

Noy Cohen

Orna Bregman-Amitai

Amir Shaham

Matan Goldman

Imry Kissos

Omer Meir

Lior Fritz

Guy Adam

Eran Borenstein

Ridge Carpenter

Eran Itan

Georgy Melamed

Lamarr Smith

Elizabeth Reisman

Claire Mcgowan

Noah Lirone Sarfati

Gilad Cohen

Summaries of broadcasts of live events are generated based on intensities of audio signals captured during the live events. Streams of multimedia including video signals and audio signals are captured by one or more cameras. The video signals are processed to identify specific activities of interest (e.g., plays of a sporting event) during the live event. Audio signals captured concurrently with the video signals are processed to determine their respective intensities or other acoustic characteristics. The activities of interest are ranked based on intensities of the audio signals. A multimedia stream representing a summary of a media program and includes the highest-ranking video signals and corresponding audio signals is generated and transmitted to one or more devices of viewers.

Generating summaries of events based on sound intensities

Systems, devices, and methods are provided for determining factually consistent generative narrations. A narrative may be generated by performing steps to determine one or more metadata messages for a first portion of a video stream, determine transcribed commentary for a second portion of the video stream, wherein the second portion includes the first portion, and determine a prompt based at least in part on the one or more metadata messages and the transcribed commentary. The prompt may be provided to a generative model that produces an output text. Techniques for performing a factual consistency evaluation may be used to determine a consistency score for the output text that indicates whether the output text is factually consistent with the one or more metadata messages and the transcribed commentary. A narrated highlight video may be generated using the consistent narrative.

Factually consistent generative narrations

Characteristics of a user's movement are evaluated based on performance of activities by a user within a field of view of a camera. Video data representing performance of a series of movements by the user is acquired by the camera. Pose data is determined based on the video data, the pose data representing positions of the user's body while performing the movements. The pose data is compared to a set of existing videos that correspond to known errors to identify errors performed by the user. The errors may be used to generate scores for various characteristics of the user's movement. Based on the errors, exercises or other activities to improve the movement of the user may be determined and included in an output presented to the user.

System for correcting user movement

A first computing device acquires video data representing a user performing an activity. The first device uses a first pose extraction algorithm to determine a pose of the user within a frame of video data. If the pose is determined to be potentially inaccurate, the user is prompted for authorization to send the frame of video data to a second computing device. If authorization is granted, the second computing device may use a different algorithm to determine a pose of the user and send data indicative of this pose to the first computing device to enable the first computing device to update a score or other output. The second computing device may also use the frame of video data as training data to retrain or modify the first pose extraction algorithm, and may send the modified algorithm to the first computing device for future use.

Systems for improving pose determination based on video data

Video output is generated based on first video data that depicts the user performing an activity. Poses of the user during performance of the activity are compared with second video data that depicts an instructor performing the activity. Corresponding poses of the user's body and the instructor's body may be determined through comparison of the first and second video data. The video data is used to determine the rate of motion of the user and to generate video output in which a visual representation of the instructor moves at a rate similar to the that of the user. For example, video output generated based on an instructional fitness video may be synchronized so that movement of the presented instructor matches the rate of movement of the user performing an exercise, improving user comprehension and performance.

System for synchronizing video output based on detected behavior

Systems for assisting a user in performance of a meditation activity or another type of activity are described. The systems receive user input and sensor data indicating physiological values associated with the user. These values are used to determine a recommended type of activity and a length of time for the activity. While the user performs the activity, sensors are used to measure physiological values, and an output that is provided to the user is selected based on the measured physiological values. The output may be selected to assist the user in reaching target physiological values, such as a slower respiration rate. After completion of the activity, additional physiological values are used to determine the effectiveness of the activity and the output that was provided. The effectiveness of the activity and the output may be used to determine future recommendations and future output.

Interface for guided meditation based on user interactions

In an imaging system having a first camera with a first field of view (FOV) and a second camera with a second FOV smaller than the first FOV, wherein the first and second FOVs overlap over an overlap region, a method for calculating a calibrated phase detection depth map over the entire first FOV comprises calculating a stereoscopic depth map in the overlap region using image information provided by the first and second cameras, obtaining a first camera phase detection (PD) disparity map in the entire first FOV, and using the stereoscopic depth map in the overlap region to provide a calibrated 2PD depth map in the entire first FOV.

Combined stereoscopic and phase detection depth mapping in a dual aperture camera

A computerized method for model-less segmentation and registration of ultrasound (US) with computed tomography (CT) images of an organ with a fluid filled chamber. The method is based on correlating between the US image(s) and the CT image(s) by processing the US image(s) by iteratively expanding the CT image segment so that the expanded CT image segment is correlated with the visual boundaries of the US image segment; transforming the CT image(s) according to an estimated US transducer position and estimated US beam direction related to the US image(s) so that at least one of shape and volume of the organ in the CT image is adapted with at least one of shape and volume of the organ of the US image, to form a CT image representation which is correlated with US image(s).

Systems and methods for registration of ultrasound and CT images

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Tel Aviv, Israel

Ido Yerushalmy