Facebook, Inc.

Ashwin Ravindra Bharambe

Evan Jerome Priestley

William M Ruben

Laura Ling Javier

Lin He

Zachary W Gomez

Andrew Michael Chung

Robert Michael Baldwin

Emily B Grewal

Jordan Christopher Walke

Andrew Lankes Street

Rujia He

Lide Zhang

Parallel processing of frames by a first and second thread is disclosed. In particular, the systems and methods can process multiple frames in a pipelines manner by a JavaScript thread and a UI thread. The system first executes a first frame by a JavaScript thread during a first time interval. The system then executes the first frame by a UI thread during a second time interval. While the UI thread is executing the first frame, the JavaScript thread executes a second thread in parallel during the second time internal. As a result, latency is added to UI processing while maintaining the same throughput, to add parallelism. The JavaScript and UI threads can be handled by different processors (e.g., using a multi-core processor), thereby adding further parallelism and increasing the efficiency of processing an event.

Multi-threaded asynchronous frame processing

Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object.

Systems and methods for processing media content that depict objects

Systems, methods, and non-transitory computer-readable media can detect a set of images locally stored on a computing system. The computing system can be associated with a first user. One or more facial recognition processes can be applied to the set of images. It can be determined, based on the one or more facial recognition processes, that a subset of images, out of the set of images, is associated with a second user. One or more options for the first user to share the subset of images with the second user can be provided.

Systems and methods for sharing media content with recognized social connections

Event handlers associated with markup language documents represented in a web browser are identified efficiently in response to an event. The markup language document is represented as a hierarchical structure comprising nodes and edges. Nodes are associated with node types, each node type defining how descendants of the node respond to events. The markup language document provides mappings of sets of node types to sets of handlers. In response to an event associated with a node, the types of nodes encountered in a path connecting the node with the root node are identified. Handler sets of the node types encountered in the path connecting a node with the root node are used to determine the handlers to be executed in response to the event. Data is associated with nodes to allow handler code to distinguish between nodes of the same node type.

Efficient event delegation in browser scripts

In one embodiment, a method includes automatically and without user input grouping one or more images captured by a first user into clusters of particular moments based at least in part on metadata associated with one or more of the images or data determined through analysis of one or more of the images. Each particular moment being associated with a particular geo-location and time. The method also includes, for each of one or more of the clusters, determining curating information corresponding to the cluster based at least in part on the metadata associated with images in the cluster, the data determined through analysis of images in the cluster, or social-graph information associated with images in the cluster; and providing the clusters of images and at least some of the curating information corresponding to them for display on a computing device of the first user.

Growing community of inventors

Sunnyvale, CA, United States of America

Ashwin Ravindra Bharambe