Method and system for quantifying viewer awareness of advertising images in a video source
First Claim
1. A method for quantifying potential viewer awareness of advertising images, the method comprising:
- segmenting a source of media into a plurality of segments of interest, without employing image-recognition software, providing for the identification of one or more advertising images that appear in the plurality of segments;
associating one or more attributes with each of the segments, wherein the one or more attributes include a size indication, a duration indication, and an isolation indication associated with the one or more advertising images;
based on the attributes, categorizing each of the segments into a defined category to derive a plurality of individual detection scores; and
aggregating the individual detection scores to provide one or more valuation scores.
4 Assignments
0 Petitions
Accused Products
Abstract
Methods and media are provided for quantifying viewer awareness of advertising images in a video source is provided. According to one embodiment, a media source is segmented into a set of frames, which are annotated with attributes based on the images that appear within each frame. The attribute data is analyzed to determine detections that meet provided criteria. The detections are indexed based on the attributes, which are then supplemented with additional attributes to create one or more valuation factors. The valuation factors can be used to derive a discount factor that can be applied against a benchmark, such as the 30-second spot rate, to determine a value associated with the video source.
89 Citations
24 Claims
-
1. A method for quantifying potential viewer awareness of advertising images, the method comprising:
-
segmenting a source of media into a plurality of segments of interest, without employing image-recognition software, providing for the identification of one or more advertising images that appear in the plurality of segments;
associating one or more attributes with each of the segments, wherein the one or more attributes include a size indication, a duration indication, and an isolation indication associated with the one or more advertising images;
based on the attributes, categorizing each of the segments into a defined category to derive a plurality of individual detection scores; and
aggregating the individual detection scores to provide one or more valuation scores. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
-
15. A method of quantifying potential viewer awareness of a set of sponsorship detections that appear in a video presentation, the method comprising:
-
associating each of a plurality of detections within the video source with one or more attributes of interest, the attributes of interest including a size indication, a duration indication, and an isolation indication;
without employing image-recognition software, providing a plurality of individual detection scores based on the attributes; and
deriving a valuation of the set of images from the plurality of detection scores. - View Dependent Claims (16, 17, 18, 19, 20, 21)
-
-
22. A method for valuing advertising content, the method comprising:
-
without employing image-recognition software, identifying from a video source a plurality of sponsorship images;
assigning attributes to each occurrence of the sponsorship images;
based on the attributes, categorizing the occurrences into a plurality of categories;
based on the categorizes, providing a set of indexes respectively associated with the occurrences;
aggregating the occurrences;
enriching the aggregated occurrences with additional valuation information; and
providing from the enriched aggregation an index factor to be applied to an advertising-valuation benchmark. - View Dependent Claims (23, 24)
-
Specification