Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: Methods and systems of transporting media signals to user devices as a function of users associated therewith and to allocating assets in such systems as a function of users receiving the media signals so as to permit signals, assets, and other features to be directed, allocated, and otherwise distributed as a function of the users associated therewith.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.

Abstract: A complex, multiple location consumer communication and content delivery system includes a plurality of headend facilities and a central facility including a database. A distributed information technology (IT) architecture involves back office IT infrastructure located at the central facility, and headend IT infrastructure located at each headend facility. Headend IT infrastructure may be provided with a policy setting limits for transactions that normally require real-time access to the central database. The headend is programmed to handle real-time transactions, without real-time access to the central database, in accordance with the set policy limits.

Abstract: Tokens and policy descriptors are used for dynamic on demand session management in a distributed and scalable architecture for on demand sessions and resource management. The architecture includes an on demand client, a purchase server, and a session manager. A purchase token is generated at the purchase server and assigned to the on demand client. The purchase token represents at least one requested asset. In response to an on demand session set-up request corresponding to the purchase token from the on demand client to the session manager, the purchase token is expanded to generate at least one dynamic policy management descriptor for the on demand session. This provides token-based purchase authorization and policy management for on demand services.