Abstract: A method of classifying a product placement in a video using rule sets is disclosed. Each rule of the rule set includes a value and one or more defining rule elements. An attribute rule set is created with attribute values and attribute elements that define levels of audio visual prominence of a product in the video. An integration rule set is created with integration values and integration elements where the integration elements define levels of integration of the product with video continuity. The video is partitioned at product scene changes to create product blocks. For each product block, an attribute value is selected based on the attribute elements and an integration value is selected based on the integration elements. An impact parameter for the video is derived as a function of the selected attribute values and integration value.

Abstract: A method of classifying a product placement in a video using rule sets is disclosed. Each rule of the rule set includes a value and one or more defining rule elements. An attribute rule set is created with attribute values and attribute elements that define levels of audio visual prominence of a product in the video. An integration rule set is created with integration values and integration elements where the integration elements define levels of integration of the product with video continuity. The video is partitioned at product scene changes to create product blocks. For each product block, an attribute value is selected based on the attribute elements and an integration value is selected based on the integration elements. An impact parameter for the video is derived as a function of the selected attribute values and integration value.

Abstract: A method and system for analysis and evaluation of branding of commercial products embedded in entertainment programming. The entertainment programming may be divided into blocks that are compared to several rule sets defining audio visual and other attributes of the commercial products to evaluate parameters such as recall of the product by viewers.

Abstract: Systems for automatically matching brands and mass media items for product placement within the mass media items. The systems including a computer having at least a processor and a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium having computer-readable instructions for receiving brand parameters for a brand, receiving mass media parameters for a mass media item, and calculating a match suitability index by comparing the brand parameters with the mass media parameters. In some examples, the system includes a brand database. In some further examples, the system includes a mass media item database.

Abstract: An entertainment capsule is described which includes at least one viewer selectable icon and content. The viewer selectable icon may be displayed simultaneously with entertainment segments. Entertainment capsule content may be sequenced to be displayed at a later time in response to viewer selection of the icon.

Abstract: An entertainment capsule is described which includes at least one viewer selectable icon and content. The viewer selectable icon may be displayed simultaneously with entertainment segments. Entertainment capsule content may be sequenced to be displayed at a later time in response to viewer selection of the icon.

Abstract: A method and system for analysis and evaluation of branding of commercial products embedded in entertainment programming. The entertainment programming may be divided into blocks that are compared to several rule sets defining audio visual and other attributes of the commercial products to evaluate parameters such as recall of the product by viewers.