Invention Title:

SYSTEMS AND METHODS FOR CONTEXTUAL BACKGROUNDS IN STREAMING VIDEO SESSIONS

Publication number:

US20240267483

Publication date:
Section:

Electricity

Class:

H04N5/272

Inventors:

Assignee:

Applicant:

Drawings (4 of 11)

Smart overview of the Invention

Innovative systems and methods are introduced for managing background images during streaming video sessions on heterogeneous computing platforms. These systems detect when a user participates in a streaming session and assess the context of their participation. By understanding this context, the system selects an appropriate background image to display behind the user, enhancing communication without relying on text.

Context Determination

The context of a user's participation can include various factors such as their location, current time, weather conditions, and even the subject matter of the session. For instance, if a user is traveling, the background image may reflect that they are in transit. Similarly, if the session occurs during a specific time of day or under certain weather conditions, the background can visually indicate these aspects to other participants.

Dynamic Background Selection

The system is designed to adapt to changes in the user's context during the session. If there is a shift—like the user moving from one location to another—the system can automatically select a different background image that corresponds to this new context. This ensures that the visual representation remains relevant and informative throughout the streaming session.

Technological Framework

These systems operate on Information Handling Systems (IHSs), which include various types of computing devices like personal computers, tablets, and servers. The IHSs may utilize heterogeneous computing platforms comprising different processing units designed for specific tasks. This versatility allows for efficient management and customization of video streaming experiences.

Enhancing User Interaction

By providing contextual background images, these systems aim to improve user interaction during streaming sessions. Indicators such as whether a user is muted or speaking can also be visually represented through changes in the background image. This approach not only fosters better communication but also enhances the overall experience for all participants involved in the video session.