Dropbox, Inc.

Michael Dwan

Jinpeng Ren

Daniel Kluesing

Anthony Grue

Tushar Jain

Yi Wei

Alon Levi

Embodiments are provided for a dropsite. In some embodiments, information is received on a creation location and a date and time of creation of a content item, and a determination is made if (i) the date and time of creation is within a predefined span of time, and (ii) the creation location is within a predefined geographical area to permit association of the content item with a shared folder whose inclusion criteria match said date and time and geographic location.

Dropsite for shared content

Methods, systems, and computer readable media for content item purging are provided. A contact item purger, such as may be incorporated within a local client application of a content management system running on a user device, may leverage knowledge as to which items have been uploaded to the content management system, and how long such content items have been stored on the user device, to propose items for deletion from the user device so as to reclaim storage space. A contact item purger may run on one or more user devices, and may activate upon various triggering events, based on various conditions and parameters, with or without user interaction, thus maintaining available memory capacity at all times.

Content item purging

Methods, systems, and computer readable media for content item purging are provided. A content item purger, such as may be incorporated within a local client application of a content management system running on a user device, may leverage knowledge as to which items have been uploaded to the content management system, and how long such content items have been stored on the user device, to propose items for deletion from the user device so as to reclaim storage space. A content item purger may run on one or more user devices, and may activate upon various triggering events, based on various conditions and parameters, with or without user interaction, thus maintaining available memory capacity at all times.

Embodiments are disclosed for detecting duplicate and near duplicate images. An exemplary method includes receiving an original image, preparing the image for fingerprinting, and calculating an image fingerprint, the fingerprint expressed as a sequence of numbers. The method further includes comparing the image fingerprint thus obtained with a set of previously stored fingerprints obtained from a set of previously stored images, and determining if the original image is either a duplicate or a near duplicate of an image in the set if the dissimilarity between the two fingerprints is less than a defined threshold T. Once a duplicate or near duplicate is detected, various defined actions may be taken, including culling the less desirable image or referring the redundancy to a user.

Duplicate/near duplicate detection and image registration

A content management system enriches contact records obtained from a client device using user records stored on the content management system. The content management system receives contact records from a client device authorized on a user account of the content management system. The content management system compares contact records with user profiles stored on the content management system. The content management system matches contact records with user profiles of user accounts with which at least one sharing event occurred between the user account and the user account on which the client device is authorized. The content management system identifies a matching user profile corresponding to the contact record. The content management system determines modification information for modifying the contact record based upon the matching user profile.

Enriching contact data based on content sharing history in a content management system

Techniques for cross-application content item management. In one embodiment, for example, a method comprises detecting a touch gesture related to a representation of a content item displayed by a first application. And based at least in part on detecting the touch gesture, a different application performing a content management action on the content item. The content management action may encompass storing the content item in a content item collection, sharing the content item with a user account, uploading the content item to a server, or a combination thereof.

Cross-application content item management

Embodiments are provided for date and time handling. In some embodiments, a timestamp and a location of creation for a content item is received, a time zone offset is retrieved for the location, the timestamp is converted into a local date and time using the time zone offset, and the local date and time and the time zone offset are used to create a value for a temporal identifier, and the temporal identifier is stored for the content item.

Date and time handling

Embodiments are provided for organization and presentation of content. In some embodiments, a plurality of images and a plurality of similarity rules for image categorization are received. For each image in the plurality of images, that image and each remaining image from the plurality is compared by: applying each similarity rule to the image and a remaining image from the plurality to obtain a numeric result, and recording the numeric result for the pair of images in a numeric representation, the numeric representation embodying similarities. The numeric representation is used as a reference for clustering the plurality of images into clusters of similar images, and each image is stored with a marker denoting a cluster to which it has been assigned.

Presentation and organization of content

Embodiments are disclosed for randomly and pseudo-randomly presenting images to a user. An exemplary method includes receiving a first set of images from a user, receiving a second set of conditions that an image must satisfy, creating a subset of the first set of images that satisfies the second set of conditions, selecting a random element of said subset, and displaying said random element to a user. The conditions define the breadth or narrowness of the subset of images from which a random element is chosen. The conditions may be system set, user configured, or any combination, and a user may repeat the process, or may choose to view a new image that has one or more affinities to the last randomly chosen image presented. Affinities function in similar manner to the conditions of a pseudo-random selection, but generally serve to narrow the available set of photos to a greater extent. Conditions or affinities may be, for example, time based, location based, event based, based on a relationship of the user to a person appearing in the last displayed photo, or based upon various other defined connections or commonalities.

Growing community of inventors

San Francisco, CA, United States of America

Michael Dwan