Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.

Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.

Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.

Abstract: A system and method is provided for bit eye center retraining. In general, the system samples an incoming data stream to determine where transitions in the data stream occur, selectively compares the location of the transitions to the expected locations to produce difference values, and combines pairs of difference values to determine when the sample point of the data stream needs to be adjusted.

Abstract: A system and method for bit eye center determination is provided. In general, the system samples an incoming data stream to determine where transitions in the data stream occur, selectively offsets the selected samples based on state criteria and the number of transitions in each set of samples, accumulates the offset samples and averages the result to determine the center of the bit eye. The system and method also provides the ability to locate the eye center even in the case of noise in the system, whether the noise is random or deterministic, including odd/even noise.

Abstract: A video processing method and system for generating a foveated video display with sections having different resolutions uses a network channel for communicating video images having video sections of different resolutions, and includes a video transmission system for processing and transmitting the received video images over the network channel. The system assigns a larger portion of the network channel's bandwidth to a video section with higher resolution. Further, the system includes a video receiving system for receiving and seamlessly combining the first and second video sections of different resolutions to form an output video image on a display device, and a control unit for sending one or more video control parameters to the video transmission system to control capturing, transmitting and processing of the video images.

Abstract: A method for aligning parallel path data bit streams that may contain skewed data between bit streams and an integrated circuit are disclosed. The method includes, for each bit stream, sampling P data presented on a positive edge of a clock, sampling N data presented on a negative edge of the clock, and delaying the sampled P and N data by one of zero, one-half, one, or other multiple of one-half clock cycle. Delaying the sampled P and N data by one of zero, one-half, one, or other multiple of one-half clock cycle is selected to remove any skew and aligns the sampled P and N data between bit streams.

Abstract: When run on high pixel density monitors, software applications, which are written to be legible at all resolutions benefit greatly from the high pixel density. Other applications, especially those containing resources whose dimensions and placement are described in terms of numbers of pixels (e.g., a bitmap, text), may have reduced legibility. A method is described which facilitates legibility of both classes of software applications when run on high pixel density monitors.