Adeia Guides Inc.

Adeia Imaging LLC

Aldis Sipolins

Tao Chen

Ning Xu

Serhad Doken

Jean-Yves Couleaud

Cato Yang

Toshiro Ozawa

Systems and methods are described for monitoring chat activity in a live streaming session and automatically presenting prompts that include information of a supplemental content item that is related to the topic of the chat for presentation during the streaming session. The system receives and analyzes a chat message to determine its topic(s). A determination is made whether the topic is prominent and if a supplemental content item that is supported by the presenter relates to the topic of the chat. Upon a positive determination, a prompt is dynamically populated and displayed to the presenter. The presenter may verbally present the content of the prompt, or the supplemental content item may be displayed in other formats, during the streaming session. Presentation metrics and user engagement metrics may be obtained and provided to the supplemental content item provider.

Supporting contextual supplemental content interactions for streamers by monitoring engagement

Systems and methods are provided herein for enabling a media content system to create an exclusive profile based on a joint profile that was used to interact with a plurality of content items provided by a media service. The joint profile contains consumption data for all users who interacted with the plurality of content items. Based on the consumption data, the system identifies a plurality of clusters containing content items with similar metadata and generates a user interface with an identifier corresponding to each cluster and identifiers corresponding to the content items of each cluster. In response to receiving a selection of a subset of the clusters, the system generates an exclusive profile with the selected clusters. The exclusive profile contains the consumption data associated with the content items of the selected clusters and the system then recommends content items to the exclusive profile based on that consumption data.

System and methods for creating a profile based on content clustering

An audible output of a vehicle is controlled based on a variety of driving characteristics and ambient conditions. In response to receiving an indication of a triggering of an activator of a horn of a vehicle, the system determines a driving characteristic of the vehicle based on vehicle sensor data. Then, based on the driving characteristic(s) determined, and/or based on the ambient conditions, an audible output tune is automatically set for output by the vehicle. A tune and volume of the audible output selected when the driving conditions and ambient conditions indicate an emergency situation will be different from the tune and volume selected for a non-threatening situation. Also, an audible output tune may be selected to be output at a later time when the vehicle reaches a destination to signal a person at the destination that the vehicle has arrived.

Contextual vehicle horn

Systems, methods, and apparatuses are described for capturing panoramic images and positioning virtual objects on a device screen, using a device having a static camera and an adjustable camera. To generate a panoramic image, the device moves the field of view of the adjustable camera by moving a corresponding MEMS mirror. The device then captures a first image using the static camera, and a second image using the adjustable camera, and generates a panoramic image by combining the first and second images. To position a virtual object, the device captures a first image using the static camera, and determines that there are insufficient visual features in the first image for positioning. The device moves the field of view of the adjustable camera by moving the corresponding MEMS mirror, and captures a second image. Visual features from the second image are then used to position the virtual object.

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Somerville, MA, United States of America

Aldis Sipolins