Dropbox, Inc.

Jason Stakelon

Devin Mancuso

Austin Sung

Benjamin Joseph Calabrese

Bonita Leung

Daniel Wagner

Alan Rogers

Siya Yang

Dylan Nelson

Irene Ma

Richard Chan

Walter Somerville

Fiona Rolander

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating content clusters from topic data and focus data, generating content collections from content clusters, storing and restoring desktop scene layouts, and storing and arranging video call scenes. In some embodiments, the disclosed systems generate content clusters based on topic data and focus data associated with content items within a content management system and/or accessed via the internet. The disclosed systems can also generate content collections for a user account of the content management system from the content clusters. In some embodiments, the content scene system can further store and restore desktop scene layouts for arranging application windows presenting content items. Further, the disclosed systems can store and arrange particular desktop scene layouts for video call scenes.

Generating digital content clusters based on web activity

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content stack utilizing one or more machine-learning models. In some implementations, the disclosed systems generate and provide, to a user account, a content stack that includes content items corresponding to a topic prompt for the user account. For instance, in some implementations, the disclosed systems utilize content-based signals and account-based signals to generate an account-specific stack formulation graph that represents a plurality of content items and relationships of the content items with each other and with the user account. Additionally, in some implementations, the disclosed systems analyze the account-specific stack formulation graph to generate a content stack from the plurality of content items, the content stack comprising a set of content items corresponding to the topic prompt.

Generating and providing content stacks utilizing machine-learning models

Storing and restoring desktop application scenes

The present technology pertains to synchronized video viewing that is supported by the use of a pending changes count to keep the client devices in synchronization while providing a user experience that matches the expectations of the user. A second client device can receive input to change some aspect of the playback of a video that is being viewed synchronously with at least one other device. The second client device can process the event so the video can reflect the received input. The second client device can also send a collaboration message to a synchronized video viewing service to inform other client devices of the command. Since the second client device is aware of its own event, the second client device can ignore processing any other collaboration messages until it receives the collaboration message it initiated echoed back to it. Thereafter it can resume processing received collaboration messages.

Synchronized video viewing using a logical clock

Storing and arranging application windows for video call scenes

Techniques are disclosed for allowing remote participation in collaborative video review based on joint state data, for a video collaboration session, maintained by a video collaboration service. A user at a participant client device may provide one or more annotations, such as a drawing annotation, for the video data via a client application. The client application transmits computer-readable instructions for re-creating the drawing annotation to the service, which distributes the drawing instructions to the other participant client devices. Using the drawing instructions, the client applications at the client devices are configured to re-create the drawing annotation on the associated video frame displayed at the client devices. The joint state data communicated to client devices for a given session may include co-presence data that efficiently increases communication among the participants in a session. Co-presence data received by a participant client device may be depicted in a GUI of the client application.

Techniques for efficient communication during a video collaboration session

Techniques are disclosed for avoiding conflicting user actions while the users synchronously participate in collaborative video review based on joint state data for a video collaboration session. User actions may conflict, e.g., when a user submits a video playback instruction to change the current frame of the session while another user is performing a frame-specific action on the current frame. The video collaboration service freezes the current frame in joint state data based on detecting that a frame-specific action is being performed or is likely imminent. Detecting a freeze condition may be implicit or explicit. In order to unfreeze the current frame of the joint state data, no active freeze conditions may be in effect. Further, the freeze condition may be lifted implicitly or explicitly. A visual video freeze indication may be displayed by one or more client applications participating in the session while a freeze condition is active.

Techniques for avoiding conflicting user actions during a video collaboration session

Growing community of inventors

San Francisco, CA, United States of America

Jason Stakelon