Abstract: The system and method of the present invention includes a predictive model for ticket sales. In one embodiment, the model predicts ticket sales as a function of the quality of the event and the quality of the section in which the seat is located over a range of ticket prices. The present invention also includes a system and method for dynamically pricing tickets wherein the aforementioned sales projections, coupled with real-time factors relating to the characteristics of the game and the remaining tickets, are used to optimize ticket prices to maximize revenue at the venue.

Abstract: The system and method of the present invention includes a predictive model for ticket sales. In one embodiment, the model predicts ticket sales as a function of the quality of the event and the quality of the section in which the seat is located over a range of ticket prices. The present invention also includes a system and method for dynamically pricing tickets wherein the aforementioned sales projections, coupled with real-time factors relating to the characteristics of the game and the remaining tickets, are used to optimize ticket prices to maximize revenue at the venue.

Abstract: A progressive video frame is detected in a sequence of video fields, wherein the sequence of video fields includes a target video field. Detection includes generating one or more metrics by comparing the target video field with an immediately preceding and/or immediately succeeding video field. The metrics are compared with one or more threshold values. The immediately preceding and/or immediately succeeding video field is determined to have been derived from a same progressive video frame as the target video field if the one or more metrics are less than their respective threshold values. The metrics in this case may be indicative of a quantity of interlace artifacts. Alternatively, metrics indicative of an amount of represented motion may be derived by comparing a target video field with each of an immediately preceding and immediately succeeding video field.

Abstract: Video images are processed to detect image motion among sequential images (e.g., progressive non-interlaced images of a video signal and/or interlaced fields of a video signal), each image being represented using a plurality of pixels. Exemplary embodiments replace block-based motion estimation with pixel-based motion estimation. A correlation surface is generated for every pixel in a reference image, from which a motion vector and confidence metric (i.e., a measure of confidence in the accuracy of the motion vector) are extracted for each pixel.