Gopro, Inc.

Palantir Technologies Inc.

Jean Caillé

Jean-Baptiste Noel

Hind Kraytem

Ludovic Lay

Arnaud Drizard

Francescu Santoni

Matthieu Bouron

Stephen Trey Moore

Augustine Vidal Pedraza, Iv

Christopher McFarland

Florian Denis

Vincent Garcia

Video information may define video content. The video content may be characterized by capture information. A remote device may transmit at least a portion of the capture information to a computing device. The computing device may identify one or more portions of the video content based on the transmitted capture information. The remote device may receive the identification of the identified portion(s) of the video content from the computing device. The remote device may stream one or more portions of the video information defining at least some of the identified portion(s) of the video content to the computing device. The streamed video information may enable the computing devices to provide a presentation of at least some of the identified portion(s) of the video content using a buffer of the streamed video information, which may allow the computing device to present the video content without permanently storing the video information.

Systems and methods for streaming video edits

Systems, methods, and non-transitory computer readable media are provided for facilitating improved defect resolution. Defect information and defect criteria information may be obtained. The defect information may identify defects of software and/or hardware in development. The defect criteria information may define one or more criteria for measuring the defects. The defects may be measured based on the one or more criteria. A defect analysis interface may be provided. The defect analysis interface may list a limited number of the defects based on the measurements of the defects. The defect analysis interface may provide costs (e.g., computing resources, time, personnel) of solving the defects.

Defect resolution

Data stored in large scale systems often includes significant amounts of data and metadata. The data and metadata provide valuable structures for efficient data organization and analysis. However, when the data or metadata is missing, the missing data or metadata can cause disruption in organization and analysis efforts. A system with interactive user interfaces for enrichment of missing data or metadata is described. The system provides various dynamic filters to detect and identify data items with missing data or metadata. The system also provides for intuitive and efficient navigation of data items for determination of the missing data or metadata. Via its user interfaces, the system enables users to supply, or enrich, the missing data or metadata. Additionally, the user interfaces enable users to dynamically change available data or metadata values used for enrichment. Also, the system generates enriched output data sets, which may facilitate analysis of processes and systems.

Detection and enrichment of missing data or metadata for large data sets

Implementations of the present disclosure are generally directed to receiving, a plurality of items of digital content from one or more data sources associated with a user, providing a plurality of clusters of digital content, each cluster including one or more items of digital content of the plurality of items of digital content, for a cluster: determining a goodness measure for each item of digital content within the cluster, the goodness measure being at least partially based on metadata associated with a respective item of digital content, and selecting at least one item of digital content from the cluster for inclusion in the media presentation, and providing the media presentation for display on a computing device of the user, the media presentation including the at least one item of digital content.

Selecting digital content for inclusion in media presentations

Media items may be obtained. The media items may be characterized by capture information indicating a capture time and a capture location of individual media items. The media items may be clustered into scenes based on proximity of the capture times of the media items. The scenes may be clustered into collections based on proximity of the capture times and/or the capture locations of the media items within the scenes. The collections may be iteratively clustered into higher collections based on proximity of the capture times and/or the capture locations of the media items within the collections. One or more collections may be identified for inclusion in a media compilation based on a size of the identified collection(s). A media compilation, including one or more of the media items included in the identified collection(s), may be generated.

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Paris, France

Jean Caillé