Cisco Technology, Inc.

Julie Allen

Gonzalo A Salgueiro

Pascale Delaunay

Derek William Engi

Rekha Gopikrishnan

Andi Bridgett Cho

Matthew L Sommer

Fernando Molina Rodriguez

Goudam Jaganmohan Muralitharan

A device receives a video stream, where one or more frames of the video stream include embedded metadata that is embedded directly into the one or more frames. The device extracts the embedded metadata from the one or more frames. The device makes an authentication determination regarding the video stream, based on whether the embedded metadata includes a digital signature associated with a sender of the video stream. The device controls, based on the authentication determination, presentation of the video stream to a recipient user.

In-band metadata for authenticity and role-based access in enterprise video streaming services

This disclosure describes techniques for authenticating a user. For instance, a system may initially generate and then store authentication data for later authenticating the user. The authentication data may include biometrics data (e.g., facial recognition data), credentials data (e.g., a username, password, etc.), and/or environmental data (e.g., object(s) located within an environment). Later, the system may receive image data generated by a user device of the user. In some examples, the system may then analyze the image data using one or more facial recognition techniques in order to identify the user. The system may then use the authentication data, such as the environmental data, to determine that the image data further represents the object(s). Based on determining that the image data further represents the object(s), the system may then verify the user for access to a resource.

Techniques for authenticating a user

Techniques are for provided located-based contextual services to users by automatically creating location-based contextually relevant communication sessions that may take on a variety of forms, including contextual chats and micro-local services that are ephemeral, curated by a location owner and personalized by a user. As a user's context shifts throughout the day (from work to shopping to entertainment, etc.) the presented techniques filter content differently based on what the user may care about at a particular moment when the user is at a particular venue. The automatic creation and deletion of an ephemeral space/channel provides a dynamic application that changes its content or behavior based on a user's location. The user may control the interactivity level based on an adaptive user identifier by which a user's identity may take on different versions depending on location and time of day.

On-demand creation of contextually relevant and location-aware ephemeral services

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Sioux Falls, SD, United States of America

Julie Allen