Abstract:
A system, computer-readable storage medium storing at least one program, and a computer-implemented method for identifying viewers of a television set is presented. An audio signal received by a microphone of the television metering device is monitored, the audio signal corresponding to audio of a television program presented on the television set and at least one audio tone generated by at least one audio transmitter of at least one viewer of the television set. The audio signal is analyzed to determine an identifier for the television program being presented on the television set and to identify an audio tone generated by an audio transmitter of a viewer. An identifier of the viewer associated with the audio tone is determined. An identifier for television metering device, the identifier for the television program, and the identifier of the viewer is transmitted to a server.
Abstract:
A method for associating a web event with a member of a group of users is implemented at a first computing device, the method including: receiving a data access request from a second computing device; examining the data access request to determine whether the second computing device provides a user login service; if the second computing device provides the user login service: causing the second computing device to collect personal information and authorization from the user of the second computing device using the user login service; receiving the user's personal information and authorization from the second computing device; and associating the data access request with the user's personal information in accordance with the user's authorization; and otherwise, associating the data access request with an identifier of the second computing device.
Abstract:
A computer system for determining TV viewership information for one or more TV panelists is provided, the computer system having memory to store programs and one or more processors for executing the one or more programs. The programs include instructions for: receiving TV broadcast information from a TV metering device, wherein the TV broadcast information identifies a current status of a TV in a household and an associated timestamp; receiving TV panelist status information from a first login/logout device that is different from the TV metering device, wherein the TV panelist status information identifies a viewership status of the TV panelist and an associated timestamp; and correlating the TV broadcast information with the TV panelist status information in accordance with their respective timestamps to determine a relationship between the TV panelist and a respective TV program currently broadcasted by the TV in the household.
Abstract:
A method, and a corresponding system, provides for media-enabled delivery of coupons. The method includes providing a trigger for an advertisement, with the advertisement provided in a media stream for display to a viewer on a media display device. Activation of the trigger displays an option for acquiring a coupon. The method further includes receiving a coupon generation request from the viewer of the advertisement; receiving an identity of the media display device and metadata related to a display of the advertisement; determining eligibility for generation and delivery of the coupon; and if eligible, determining a coupon delivery option, and delivering the coupon.
Abstract:
A server computer receives web request events corresponding to web requests issued by users. Each web request event includes: a cookie that identifies the user computer that originated the corresponding web request; an IP address corresponding to the user computer; and a date/time stamp indicating when the corresponding web request was received at a web server. The server stores the web request events. The server selects a subset of the web request events, all of which are associated with the same cookie. Then the server computes a geographical location corresponding to the user computer, where the computation uses the IP address associated with the web request event. The server determines the local time and day of week corresponding to the web request. The server then classifies the user computer based, at least in part, on a usage pattern corresponding to the web request events in the subset.
Abstract:
A method of generating model data representative of a model in a three-dimensional space of an object from input signals representative of a set of images of the object taken from a plurality of respective camera positions includes the steps of displaying a model image derived from the model data and having a plurality of primitives for viewing by a user, receiving at least one primitive selection signal responsive to user actuation of an input whereby each primitive selection signal identifies a respective selected primitive of the model, and defining a plurality of virtual cameras in the three dimensional space having positions and look directions relative to the model which correspond substantially to those of the respective actual cameras relative to the object. Additional steps include evaluating which of the virtual cameras is an optimum virtual camera for generating a view of the selected primitives, identifying from the camera images a first camera image of the plurality of camera images taken from a camera position corresponding to that of the optimum virtual camera, and determining from the camera images a second camera image as being suitable for matching features in the first camera image and displaying the second camera image for comparison by the user with the first camera image.
Abstract:
Three-dimensional computer model data, moving image data or still image data showing at least one person is stored in an archive database 126, 703, 850, 1303, together with additional information to improve the searching and retrieval of data therefrom. The additional information includes view parameter data 512, 1040 which defines at whom or what each person is looking during each predetermined period of time or image. Text data 504, 1020 which comprises words associated with the person, and viewing histogram data 540 which, for each period of text data defines the percentage of time that the speaking person spent looking at each other person or object, may also be stored.
Abstract:
A 3D computer model of an object is generated by calculating the intersections of polyhedra. Each polyhedron defines a volume of 3D space containing at least part of the object. The 3D points of intersection of the planar faces of the polyhedra are calculated and each point is labeled with the planar faces which meet thereat. The points are connected to form a polygon mesh using the labels to determine which points should be connected together. In calculating the points, a volume containing the object is subdivided into parts, each part is tested against the polyhedra and then discarded, subdivided further, or the point of intersection of planar faces within the volume part is calculated. A volume part is discarded if it is outside at least one polyhedron. The volume part is subdivided into further parts if it is intersected by more than a predetermined number of polyhedra faces.
Abstract:
In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions. Edges in an image are identified by first identifying corner points in the image and then identifying edges between the corner points on the basis of edge orientation values of pixels, the edges are processed in strength order to remove cross-overs, the images sub-divided into regions by connecting points at the ends of the edges on the basis of the edge strengths, and matching points within corresponding regions in two or more images are identified.
Abstract:
A computer-implemented method for collecting and managing TV viewership data from multiple TV metering data providers is disclosed. The method includes: receiving an event log file at a distributed computer system that includes multiple computers; dynamically selecting one or more computers according to a predefined sharding function; at each of the selected computers: allocating a set of compressed event records, which corresponds to a subset of the event log file, at predetermined locations within the memory of the computer; and in accordance with a predefined schedule, replicating the compressed event records from a respective one of the selected computers to one or more other computers of the distributed system such that there are at least two replicas of any event record on at least two computers of the distributed computer system.