Abstract: Systems and methods for capturing and utilizing multimedia-based analytics to generate predictions about game-play in computer-based games and contests. In an embodiment, a video feed analyzes one or more video feeds frame by frame to determine one or more features within each video frame. Each feature may be collected in a central data collector and converted to one or more metrics about each collected parameter or feature. These metrics may be used to analyze and predict various aspects of the underlying game or contest, such as probability of winning by one side or the other. Further, the predictive data and analytical data may be displayed on a display separate from actual gameplay or may be overlaid upon the game play video feed. In this manner, the overlay video may be synchronized with the original video feed to present predictive data in conjunction with the video data used to influence the predictive data at the time.

Abstract: Systems and methods for capturing and utilizing multimedia-based analytics to generate predictions about game-play in computer-based games and contests. In an embodiment, a video feed analyzes one or more video feeds frame by frame to determine one or more features within each video frame. Each feature may be collected in a central data collector and converted to one or more metrics about each collected parameter or feature. These metrics may be used to analyze and predict various aspects of the underlying game or contest, such as probability of winning by one side or the other. Further, the predictive data and analytical data may be displayed on a display separate from actual gameplay or may be overlaid upon the game play video feed. In this manner, the overlay video may be synchronized with the original video feed to present predictive data in conjunction with the video data used to influence the predictive data at the time.

Abstract: Systems and methods for capturing and utilizing multimedia-based analytics to generate predictions about game-play in computer-based games and contests. In an embodiment, a video feed analyzes one or more video feeds frame by frame to determine one or more features within each video frame. Each feature may be collected in a central data collector and converted to one or more metrics about each collected parameter or feature. These metrics may be used to analyze and predict various aspects of the underlying game or contest, such as probability of winning by one side or the other. Further, the predictive data and analytical data may be displayed on a display separate from actual gameplay or may be overlaid upon the game play video feed. In this manner, the overlay video may be synchronized with the original video feed to present predictive data in conjunction with the video data used to influence the predictive data at the time.

Abstract: Systems and methods for capturing and utilizing multimedia-based analytics to generate predictions about game-play in computer-based games and contests. In an embodiment, a video feed analyzes one or more video feeds frame by frame to determine one or more features within each video frame. Each feature may be collected in a central data collector and converted to one or more metrics about each collected parameter or feature. These metrics may be used to analyze and predict various aspects of the underlying game or contest, such as probability of winning by one side or the other. Further, the predictive data and analytical data may be displayed on a display separate from actual gameplay or may be overlaid upon the game play video feed. In this manner, the overlay video may be synchronized with the original video feed to present predictive data in conjunction with the video data used to influence the predictive data at the time.

Abstract: A method, system and computer program product for automatically detecting and quantifying materials in containers (e.g., luggage, storage containers, equipment or componentry for processing or handling). An X-ray radiograph of a container is generated. A set of materials of interest (e.g., plutonium, steel) is selected to determine if the object comprises or contains materials of interest. An estimate of the areal densities or thicknesses of each of the selected materials of interest is obtained by minimizing an objective function with respect to the areal densities or thicknesses for each of the selected materials of interest. Adaptive regularization is implemented in the objective function to improve optimization results by adding a constraint to the objective function, where the constraint penalizes the objective function for solutions that do not line up with a prior belief about the solution form (e.g., the solution should not be negative or especially noisy).

Abstract: Systems and methods for capturing and utilizing multimedia-based analytics to generate predictions about game-play in computer-based games and contests. In an embodiment, a video feed analyzes one or more video feeds frame by frame to determine one or more features within each video frame. Each feature may be collected in a central data collector and converted to one or more metrics about each collected parameter or feature. These metrics may be used to analyze and predict various aspects of the underlying game or contest, such as probability of winning by one side or the other. Further, the predictive data and analytical data may be displayed on a display separate from actual gameplay or may be overlaid upon the game play video feed. In this manner, the overlay video may be synchronized with the original video feed to present predictive data in conjunction with the video data used to influence the predictive data at the time.

Abstract: A method, system and computer program product for automatically detecting and quantifying materials in containers (e.g., luggage, storage containers, equipment or componentry for processing or handling). An X-ray radiograph of a container is generated. A set of materials of interest (e.g., plutonium, steel) is selected to determine if the object comprises or contains materials of interest. An estimate of the areal densities or thicknesses of each of the selected materials of interest is obtained by minimizing an objective function with respect to the areal densities or thicknesses for each of the selected materials of interest. Adaptive regularization is implemented in the objective function to improve optimization results by adding a constraint to the objective function, where the constraint penalizes the objective function for solutions that do not line up with a prior belief about the solution form (e.g., the solution should not be negative or especially noisy).