Systems and methods for adaptive adjustment of advertisement boundaries in media

1. An audience measurement computing system comprising:

at least one processor;

memory having stored therein computer readable instructions that, upon execution by the at least one processor, cause the audience measurement computing system to:

compare first monitored media signatures associated with an advertisement block to a plurality of sequences of monitored media signatures associated with a first time period;

determine a start boundary and an end boundary of a first advertisement in the advertisement block based on the comparison of the first monitored media signatures and the plurality of sequences of monitored media signatures, the first advertisement associated with second monitored media signatures representative of a subset of the first monitored media signatures between the start boundary and the end boundary;

generate an entry in an advertisement relationship graph for the second monitored media signatures, the entry to map the second monitored media signatures to the first advertisement; and

credit media exposure to the first advertisement based on the second monitored media signatures in the advertisement relationship graph.

2. The audience measurement computing system of claim 1 , wherein the first monitored media signatures are included in monitoring data reported by a media device meter, the media device meter to monitor media presented by a media device.

3. The audience measurement computing system of claim 1 , wherein to identify the first advertisement, the instructions further cause, upon execution by the at least one processor, the audience measurement computing system to identify a sequence of monitored media signatures in the first monitored media signatures that is repeated in the plurality of sequences of monitored media signatures.

4. The audience measurement computing system of claim 1 , wherein the instructions further cause, upon execution by the at least one processor, the audience measurement computing system to determine the start boundary and the end boundary of the first advertisement by:

identifying a consecutive group of the first monitored media signatures that are repeated in the plurality of sequences of monitored media signatures;

determining the start boundary as a first one of the first monitored media signatures in the group; and

determining the end boundary as a last one of the first monitored media signatures in the group.

5. The audience measurement computing system of claim 1 , wherein the instructions further cause, upon execution by the at least one processor, the audience measurement computing system to determine a plurality of variations of boundaries of the first advertisement corresponding to variations of the first advertisement among different broadcasts, the plurality of variations of boundaries including a plurality of start boundaries and a plurality of end boundaries.

6. The audience measurement computing system of claim 5 , wherein the variations of the first advertisement include at least one of the first advertisement being shortened in time or the first advertisement being modified to target a particular audience.

7. The audience measurement computing system of claim 5 , wherein the instructions further cause, upon execution by the at least one processor, the audience measurement computing system to generate the advertisement relationship graph between the plurality of variations of boundaries of the first advertisement, the advertisement relationship graph to map signatures included in the plurality of variations of boundaries as representative of the first advertisement.

8. At least one non-transitory computer readable medium comprising instructions which, when executed by at least one processor of a computing system, cause the computing system to at least:

compare first monitored media signatures associated with an advertisement block to a plurality of sequences of monitored media signatures associated with a first time period;

determine a start boundary and an end boundary of a first advertisement in the advertisement block based on the comparison of the first monitored media signatures and the plurality of sequences of monitored media signatures, the first advertisement associated with second monitored media signatures representative of a subset of the first monitored media signatures between the start boundary and the end boundary;

generate an entry in an advertisement relationship graph for the second monitored media signatures, the entry to map the second monitored media signatures to the first advertisement; and

credit media exposure to the first advertisement based on the second monitored media signatures in the advertisement relationship graph.

9. The at least one non-transitory computer readable medium of claim 8 , wherein the first monitored media signatures are included in monitoring data reported by a media device meter, the media device meter to monitor media presented by a media device.

10. The at least one non-transitory computer readable medium of claim 8 , wherein the instructions further cause, when executed by the at least one processor, the computing system to identify the first advertisement by identifying a sequence of monitored media signatures included in the first monitored media signatures that is repeated in the plurality of sequences of monitored media signatures.

11. The at least one non-transitory computer readable medium of claim 8 , wherein the instructions further cause, when executed by the at least one processor, the computing system to determine the start boundary and the end boundary of the first advertisement by:

identifying a consecutive group of the first monitored media signatures that are repeated in the plurality of sequences of monitored media signatures;

determining the start boundary as a first one of the first monitored media signatures in the group; and

determining the end boundary as a last one of the first monitored media signatures in the group.

12. The at least one non-transitory computer readable medium of claim 8 , wherein the instructions further cause, when executed by the at least one processor, the computing system to determine a plurality of variations of boundaries of the first advertisement corresponding to variations of the first advertisement among different broadcasts, the plurality of variations of boundaries including a plurality of start boundaries and a plurality of end boundaries.

13. The at least one non-transitory computer readable medium of claim 12 , wherein the instructions further cause, when executed by the at least one processor, the computing system to generate the advertisement relationship graph between the plurality of variations of boundaries of the first advertisement, the advertisement relationship graph to map signatures included in the plurality of variations of boundaries as representative of the first advertisement.

14. A method comprising:

comparing, by executing an instruction with at least one processor, first monitored media signatures associated with an advertisement block to a plurality of sequences of monitored media signatures associated with a first time period;

determining, by executing an instruction with the at least one processor, a start boundary and an end boundary of a first advertisement in the advertisement block based on the comparison of the first monitored media signatures and the plurality of sequences of monitored media signatures, the first advertisement associated with second monitored media signatures representative of a subset of the first monitored media signatures between the start boundary and the end boundary;

generating, by executing an instruction with the at least one processor, an entry in an advertisement relationship graph for the second monitored media signatures, the entry to map second monitored media signatures to the first advertisement; and

crediting, by executing an instruction with the at least one processor, media exposure to the first advertisement based on the second monitored media signatures in the advertisement relationship graph.

15. The method of claim 14 , wherein the first monitored media signatures are included in monitoring data reported by a media device meter, the media device meter to monitor media presented by a media device.

16. The method of claim 14 , further including identifying the first advertisement by identifying a sequence of monitored media signatures included in the first monitored media signatures that is repeated in the plurality of sequences of monitored media signatures.

17. The method of claim 14 , wherein the plurality of sequences of monitored media signatures are associated with a plurality of different broadcasts presented by a media device during the first time period.

18. The method of claim 17 , further including determining the start boundary and the end boundary of the first advertisement by:

identifying a consecutive group of the first monitored media signatures that are repeated in the plurality of sequences of monitored media signatures;

determining the start boundary as a first one of the first monitored media signatures in the group; and

determining the end boundary as a last one of the first monitored media signatures in the group.

19. The method of claim 14 , further including determining a plurality of variations of boundaries of the first advertisement corresponding to variations of the first advertisement among different broadcasts, the plurality of variations of boundaries including a plurality of start boundaries and a plurality of end boundaries.

20. The method of claim 19 , further including generating the advertisement relationship graph between the plurality of variations of boundaries of the first advertisement, the advertisement relationship graph to map signatures included in the plurality of variations of boundaries as representative of the first advertisement.