Dropbox, Inc.

Other

Nils Peter Welinder

David J Kriegman

Thomas R Berg

Peter Neil Belhumeur

Jongmin Baek

Ying Xiong

Simon Kozlov

Ilya Fushman

Thomas Kleinpeter

Thomas Wright

Stephen Poletto

Rajeev Nayak

Ramesh Balakrishnan

Anthony Grue

Andrew Haven

Tina Wen

Szu-Po Wang

Boris Babenko

The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.

Live document detection in a captured video stream

The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.

Enhancing documents portrayed in digital images

Shareable links can be created to share content items and information pertaining to activity on those shareable links can be monitored and stored in an online content management service. Based on this activity information, predetermined actions can be executed. These actions can include sending notifications regarding link activity, disabling shareable links, and/or updating sharing limitations related to the shareable links. Using the activity information, popular shared content items can be identified and recommendations for sharing unshared content items can be provided to the user. Additionally, advertisements can be tailored to the relative popularity of the shared content items.

Systems and methods for monitoring and applying data related to shareable links associated with content items stored in an online content management service

Systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed are disclosed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.

Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group.

Event-based image classification and scoring

Monitored shareable links to content items in an online content management service. In one aspect, based on determining that a first view metric associated with a shareable link to a content item is above a first activity threshold associated with the shareable link, a first action is taken on the shareable link. The first action can be allowing or denying requested access to the content item via the shareable link or sending a notification to a user that requested creation of the shareable link regarding user activity on the shareable link. Further, based on determining that a second view metric associated with the shareable link is above a second activity threshold associated with the shareable link, a second action is taken on the shareable link. The second action can be like the first action.

Monitored shareable links to content items stored in an online content management service

Recommendations for shareable links to content items stored in an online content management service. In one aspect, a recommendation is sent to a first user to create and share a shareable link to a content item with a second user. The content item to share via a shareable link is identified as one that is currently not shared by the first user and that has one or more characteristics in common with a 'popular' content item as determined by monitoring the popular content item for a threshold number of requests to access the popular content item via a corresponding shareable link to the popular content item.

Recommendations for shareable links to content items stored in an online content management service

The present disclosure is directed toward systems and methods that enable more accurate digital object classification. In particular, disclosed systems and methods address inaccuracies in digital object classification introduced by variations in classification scores. Specifically, in one or more embodiments, disclosed systems and methods generate probability functions utilizing digital test objects and transform classifications scores into normalized classification scores utilizing probability functions. Disclosed systems and methods utilize normalized classification scores to more accurately classify and identify digital objects in a variety of applications.

Growing community of inventors

San Francisco, CA, United States of America

Nils Peter Welinder