Zorroa Corporation

Other

Cloudpic Global Inc.

David DeBry

Richard Chuang

Daniel Elliot Wexler

Juan Jose Buhler

A method is performed at a computing system having one or more processors and memory. The method includes receiving a first video clip having three or more image frames and computing a first hash pattern, including: (i) computing a temporal sequence of differential frames and (ii) for each differential frame: identifying a respective plurality of feature points and computing a respective hash value that represents spatial positioning of the respective feature points with respect to each other. The method includes receiving a second video clip having three or more image frames and computing a second hash pattern by applying steps (i) and (ii) to the three or more image frames. The method includes computing a distance between the first hash pattern and the second hash pattern and determining that the first and second video clips match when the computed distance is less than a threshold distance.

Using motion-based features to match video sequences

A method of analyzing and organizing printed documents is performed at a computing system having one or more processors and memory. The method includes receiving one or more printed documents, each including one or more pages. The method includes processing each page of each printed document. The method includes scanning the respective page to obtain an image file. The method also includes determining a document class for the respective page by inputting the image file to one or more trained classifier models, and generating a semantic analyzer pipeline including at least an optical character recognition (OCR)-based semantic analyzer. The method also includes applying the OCR-based semantic analyzer to the preprocessed output page to generate a preprocessed output page and to extract semantic information corresponding to the respective page. The method includes determining a digital organization for the respective printed document based on the extracted semantic information and the document class.

Digital organization of printed documents according to extracted semantic information

This is a system for controlling and restricting access (reading, writing, creating, deleting, manipulating, and control) to data and data representations of arbitrary processing engines through the use of secure containers, an access processing engine, and cryptographic keys.

Piracy prevention and usage control system using access-controlled encrypted data containers

Asset management systems and methods are presented. In one embodiment, a system includes a computing resource associated with a project member. A project container is stored on the computing resource, wherein the project container comprises encrypted objects related to a project. The encrypted objects includes project metadata and one or more working objects associated with one or more sub-projects of which the project member is granted permissioned access. An encryption/decryption engine is included for encrypting and decrypting the encrypted objects. The system includes an archive file system for storing the encrypted objects and previous versions of the objects, and a fa&#xe7;ade file system for viewing and accessing and interacting with the one or more working objects. Other computing resources associated with other project members are similarly configured, wherein a plurality of project containers store distributed objects that are grouped within the project. An authentication server provides authenticated access to each of the plurality of project containers, and authenticated peer-to-peer communication between the plurality of project containers.

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Salt Lake City, UT, United States of America

David DeBry