Method and system for quantifying viewer awareness of advertising images in a video source

1. A method for quantifying potential viewer awareness of advertising content that is within a source of media, the method comprising:

storing, in a computer readable medium, the source of media, thereby providing a stored source of media;

segmenting the stored source of media into a plurality of segments of interest;

receiving an identification of one or more advertisement detections that appear in the plurality of segments, wherein the one or more advertisement detections were made without employing image-recognition software;

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 advertisement detections;

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; and

generating one or more reports related to the one or more advertisement detections.

2. The method of claim 1 , wherein the source of media includes one or more of:

a source of video;

a source of audio; and

combinations thereof.

3. The method of claim 2 , wherein the source of video includes at least one of:

a live feed;

a streaming-video segment;

a previously recorded video segment; and

combinations thereof.

4. The method of claim 3 , wherein the plurality of segments includes a plurality of frames or frame sets.

5. The method of claim 4 , wherein receiving an identification of one or more advertisement detections comprises:

receiving input corresponding to the one or more attributes by means of a user interface.

6. The method of claim 5 , wherein the user interface is operable to receive commands from a user, wherein the user is a human being.

7. The method of claim 6 , wherein the user interfaces is further operable to automatically parse the received commands.

8. The method of claim 7 , wherein the user interface is further operable to prevent the user from advancing past an unviewed frame.

9. The method of claim 1 , wherein:

the size indication indicates a portion of screen real estate consumed by the one or more advertisement detections;

the duration indication indicates a length of time that the one or more advertisement detections was viewable; and

the isolation indication indicates whether a first advertisement detection associated with a first sponsor appears with a second advertisement detection associated with a second sponsor.

10. The method of claim 9 , wherein additional attributes are included to provide one or more valuation scores, the additional attributes include:

a screen-location identifier;

a source identifier that indicates a location upon which the one or more advertisement detections appeared; and

an image-quality identifier.

11. The method of claim 9 , wherein aggregating the individual detection scores includes summing the individual detection scores to provide a sum.

12. The method of claim 11 , wherein aggregating the individual detection scores includes enriching the individual detection scores with additional information, the additional information including:

a sponsorship-tier level;

a viewing-audience-size number; or

a graphics indication that indicates whether an advertisement detection is a generated graphic;

an on-air mention indication that indicates whether an advertisement detection is an on-air mention, the on-air mention including an audible indication of a sponsor, including the sponsor's name or a jingle associated with the sponsor;

a product-placement indication;

a ratings factor; and

combinations thereof.

13. The method of claim 12 , further comprising employing the sum to determine a monetary valuation of the advertisement detections.

14. A method for valuing advertising content that is within a source of media, the method comprising:

storing, in a computer readable medium, a video source that contains a plurality of sponsorship images;

receiving an identification of the plurality of sponsorship images, wherein the sponsorship images were identified without employing image-recognition software;

assigning attributes to each occurrence of the sponsorship images;

based on the attributes, categorizing the occurrences into a plurality of categories;

based on the categories, providing a set of indexes respectively associated with the occurrences;

aggregating the occurrences;

associating the aggregated occurrences with additional valuation information, which additional valuation information includes one or more of

(1) a screen-location identifier,

(2) a source identifier that indicates a location upon which the one or more advertisement detections appeared, and

(3) an image-quality identifier;

providing from the associated aggregated occurrences an index factor to be applied to an advertising-valuation benchmark; and

generating one or more reports related to the advertising content.

15. The method of claim 14 , wherein valuing the advertising content comprises determining a monetary value associated with the advertising content.

16. The method of claim 15 , wherein determining a monetary value comprises applying the index factor to a flat-rate advertising metric, the flat-rate advertising metric including a 30-second spot rate for a commercial.