Alcatel Lucent

Alcatel-lucent USA Inc.

Provenance Asset Group LLC

Yansong Ren

Thomas L Wood

Fangzhe Chang

Lawrence P O'Gorman

John R Zhang

Richard Wayne Buskens

Oscar J Gonzalez

A driver behavior monitoring system includes: a video camera; an image processing system; and a driver alert system. The video camera records the driver's behavior, and the image processing system analyzes the recorded video content to recognize and classify the driver's behavior as at least one of: (i) distracted behavior; and (ii) accident behavior. Based on the recognition and classification, the driver alert system may perform various operations such as alerting the driver, alerting the authorities, etc.

Driver behavior monitoring systems and methods for driver behavior monitoring

A method for authenticating video content includes: receiving a digital signature, an unsecured video fingerprint, and an unsecured video content from a transmitting node at a receiving node in a communication network; determining if the digital signature is consistent with the unsecured video fingerprint at the receiving node to verify the unsecured video fingerprint; and determining if the unsecured video fingerprint is consistent with the unsecured video content at the receiving node to verify the unsecured video content in a manner that tolerates a predetermined measure of loss in the unsecured video content. If the unsecured video fingerprint and the unsecured video content are verified, the unsecured video content is authenticated for subsequent use at the receiving node. A receiving node associated with the method includes an input module, a fingerprint verification module, a content verification module, and a controller module.

Method and apparatus for authenticating video content

A method for comparing a query video and a target video includes partitioning frames of the query video and frames of the target video into blocks and calculating the mean intensity value for each block. A plurality of query time series is produced for the query video, each query time series representing temporal variation in mean intensity value for blocks from the same location in different frames of the query video. A plurality of target time series is produced for the target video, each target time series representing temporal variation in mean intensity value for blocks from the same location in different frames of the target video the query time series and the target time series are used in determining if alignment exists between the query video and the target video.

Method and apparatus for comparing videos

In a method of comparing a query video and a target video, frames of the query video and frames of the target video are partitioned into blocks. The mean intensity value is calculated for each block. Minima and maxima values are extracted from temporal changes of the mean intensity values for each block. Inclines and declines are obtained from the minima and maxima values. The inclines and declines are used in determining if alignment exists between the query video and the target video.

A method for comparing videos includes detecting local features in frames of a video and determining the positions of detected local features in a first frame compared to their respective positions in a succeeding second frame. For at least some of the detected local features, a movement indicator is generated representing the position of a local feature in the first frame relative to the position of that local feature in the second frame, the movement indicator including an orientation, to obtain a plurality of movement indicators. Movement indicators are grouped by orientation ranges. The number of grouped movement indicators in an orientation range are summed to obtain a value for that orientation range. A time series of values for at least one given orientation range is obtained by determining the positions of detected local features in a first frame compared to their respective positions in a succeeding second frame for a plurality of pairs of frames. For at least one orientation range, a first time series of values for a first video is compared with a second time series of values for a second video to determine the similarity of the first and second videos.

The time it takes to recover from a system initialization failure may be reduced by determining whether to enable a recovery process immediately, or defer such a process. Sometimes it is desirable to defer a recovery process until certain interdependencies between system components are satisfied.

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Plano, TX, United States of America

Yansong Ren