A method and system for planning and running video-on-demand (VOD) advertising includes a planner for planning advertising campaigns and an ad selector for running selected advertisements from selected ones of the campaigns. The campaigns are associated with household demographic classifications, video content category categories, household geographic locations, and/or video viewing times. In response to a viewer requesting a video, the selector selects the campaigns corresponding to the demographic classification associated with the viewer, the content category of the requested video, the geographic location associated with the viewer, and/or the viewing time at which the requested video is viewed. The demographic classification is determined by using an identifier of the viewer's set-top-box. The selector may select the campaigns corresponding to the content categories of the requested video. The content categories are determined by using an identifier associated with the requested video.

A method and system for planning and running video-on-demand (VOD) advertising includes a planner for planning advertising campaigns and an ad selector for running selected advertisements from selected ones of the campaigns. The campaigns are associated with household demographic classifications, video content category categories, household geographic locations, and/or video viewing times. In response to a viewer requesting a video, the selector selects the campaigns corresponding to the demographic classification associated with the viewer, the content category of the requested video, the geographic location associated with the viewer, and/or the viewing time at which the requested video is viewed. The demographic classification is determined by using an identifier of the viewer's set-top-box. The selector may select the campaigns corresponding to the content categories of the requested video. The content categories are determined by using an identifier associated with the requested video.

[Object] To provide an information processing apparatus, an information processing method, and a program, which can improve accuracy of authentication based on biometric information of an eye. [Solution] Provided is an information processing apparatus including: a biometric information authentication unit that authenticates biometric information identified from each of a plurality of captured images of an eye of a user of different sight line directions, on the basis of reference images of the eye of the user of the respective sight line directions; and an authentication result combining unit that combines authentication results by the biometric information authentication unit.

[Object] To provide an information processing apparatus, an information processing method, and a program, which can improve accuracy of authentication based on biometric information of an eye. [Solution] Provided is an information processing apparatus including: a biometric information authentication unit that authenticates biometric information identified from each of a plurality of captured images of an eye of a user of different sight line directions, on the basis of reference images of the eye of the user of the respective sight line directions; and an authentication result combining unit that combines authentication results by the biometric information authentication unit.

In various exemplary embodiments, a system and method to provide smart media selection to a set of one or more individuals at a location associated with a display device of a receiver system is provided. In example embodiments, an indication of a presence change at the location is received. User specific information associated with the set of the one or more individuals identified as being at the location is accessed. A recommendation playlist based on the user specific information is generated.

In various exemplary embodiments, a system and method to provide smart media selection to a set of one or more individuals at a location associated with a display device of a receiver system is provided. In example embodiments, an indication of a presence change at the location is received. User specific information associated with the set of the one or more individuals identified as being at the location is accessed. A recommendation playlist based on the user specific information is generated.

Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes an audio detector to determine a first audience count based on signatures of audio data captured in the media environment, a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, and an audience image detector to identify at least one audience member based on a comparison of a frame of audience image data with a library of reference audience images, the audience image detector to perform he comparison in response to the first audience count not matching the heat blob count.

Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a controller to cause a people meter to emit a prompt for input of audience identification information at a first time and determine a first audience count based on the input, an audio detector to determine a second audience count based on signatures generated from audio data captured in the media environment, and a comparator to cause the people meter to not emit the prompt for at least a first time period after the first time when the first audience count is equal to the second audience count.

Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, an audience image detector to identify a face of an audience member based on a frame of audience image data captured in the media environment, the frame of audience image data corresponding to a field of view associated with at least one heat blob included in the heat blob count, and a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, not to emit the prompt for at least a first time period after the audience member is identified.

Example methods disclosed herein include accessing a query requesting a metric associated with a number of unique members of an audience of media over an aggregate monitoring interval corresponding to a plurality of component monitoring intervals. Disclosed example methods also include determining respective aggregate interval probability distributions modeling likelihoods of respective monitored individuals being exposed to the media during the aggregate monitoring interval, a first one of the aggregate interval probability distributions for a first one of the monitored individuals being determined by combining parameters of respective component interval probability distributions modeling likelihoods of the first one of the monitored individuals being exposed to the media during respective ones of the component monitoring intervals. Disclosed example methods further include evaluating an audience-level probability distribution determined from the aggregate interval probability distributions to determine the metric to transmit to the computing device in response to the query.