Nvidia Corporation

University of North Carolina at Chapel Hill

The State University of New York

Nvidia Corporaton

Nathan Otterness

Jonathan B White

Jim Van Welzen

Jack Van Welzen

Dave Clark

Travis Muhlestein

James Lewis Van Welzen

Prabindh Sundareson

Prakash Yadav

Fabian Newman Monrose

David Paul Clark

Kevin Zachary Snow

Teryl Paul Taylor

Jan Jakub Werner

Robert John Dallara

Georgios Baltas

Michalis Polychronakis

A game-agnostic event detector can be used to automatically identify game events. Game-specific configuration data can be used to specify types of pre-processing to be performed on media for a game session, as well as types of detectors to be used to detect events for the game. Event data for detected events can be written to an event log in a form that is both human- and process-readable. The event data can be used for various purposes, such as to generate highlight videos or provide player performance feedback. The event data may be determined based upon output from detectors such as optical character recognition (OCR) engines, and the regions may be upscaled and binarized before OCR processing.

Resolution upscaling for event detection

A game-agnostic event detector can be used to automatically identify game events. Game-specific configuration data can be used to specify types of pre-processing to be performed on media for a game session, as well as types of detectors to be used to detect events for the game. Event data for detected events can be written to an event log in a form that is both human- and process-readable. The event data can be used for various purposes, such as to generate highlight videos or provide player performance feedback.

Game event recognition

In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object&#x2014;thereby increasing accuracy and efficiency of the system while reducing run-time.

Focusing regions of interest using dynamic object detection for textual information retrieval

Determining relative regions of interest in images using object detection

Methods, systems, and computer readable media for preventing code reuse attacks are disclosed. According to one method, the method includes executing, on a processor, code in a memory page related to an application, wherein the memory page is protected. The method also includes detecting a read request associated with the code. The method further includes after detecting the read request, modifying, without using a hypervisor, at least one memory permission associated with the memory page such that the code is no longer executable after the code is read.

Methods, systems, and computer readable media for preventing code reuse attacks

Methods, systems, and computer readable media for detecting malicious network traffic are disclosed. According to one method, the method includes caching network traffic transmitted between a client and a server, wherein the network traffic includes a uniform resource locator (URL) for accessing at least one file from the server. The method also includes determining whether the at least one file is suspicious. The method further includes in response to determining that the at least one file is suspicious, determining whether the at least one file is malicious by replaying the network traffic using an emulated client and an emulated server.

Methods, systems, and computer readable media for detecting malicious network traffic

Growing community of inventors

Mebane, NC, United States of America

Nathan Otterness