Methods and apparatus to measure brand exposure in media streams
Methods and apparatus to measure brand exposure in media streams are disclosed. An example method to determine brand exposures included in media content disclosed herein comprises determining whether a scene detected from a media stream corresponding to the media content matches a reference scene, identifying an expected region of interest in the detected scene based on information describing the reference scene when the detected scene is determined to match the reference scene and the reference scene is not specified to be a scene of no interest, and determining whether a reference brand identifier associated with the reference scene is included in the expected region of interest identified in the detected scene.
1. An article of manufacture comprising computer readable instructions that, when executed, cause a processor to at least:
determine a first histogram based on at least one of luminance components or chrominance components of a first frame of video, the first histogram having first histogram bins;
determine a second histogram based on at least one of luminance components or chrominance components of a second frame of video, the second histogram having second histogram bins;
compute a sum of differences based on the first histogram bins and the second histogram bins;
determine, based on the computed sum of differences, that the first frame and the second frame correspond to a video transition; and
responsive to the determination that the first frame and the second frame correspond to the video transition, process at least one specified region of interest within at least one of the first frame or the second frame to detect at least one logo in the at least one specified region of interest.
2. The article of manufacture of claim 1 , wherein the instructions, when executed, cause the processor to:
determine the first histogram based on the luminance components and the chrominance components of the first frame; and
determine the second histogram based on the luminance components and the chrominance components of the second frame.
3. The article of manufacture of claim 1 , wherein the instructions, when executed, cause the processor to compare the sum of differences to a threshold to determine whether the first frame and the second frame correspond to the video transition.
4. The article of manufacture of claim 3 , wherein the threshold is adjustable.
5. The article of manufacture of claim 1 , wherein the first frame and the second frame are successive frames in the video.
6. The article of manufacture of claim 1 , wherein the video transition corresponds to a scene change.
7. The article of manufacture of claim 1 , wherein the instructions, when executed, cause the processor to compute the sum of differences by:
computing multiple bin-wise differences between respective corresponding bin values of the first histogram bins and the second histogram bins; and
totaling the multiple bin-wise differences.
8. An apparatus comprising:
memory including computer readable instructions; and
a processor to execute the instructions to at least:
determine a first histogram based on at least one of luminance components or chrominance components of a first frame of video, the first histogram having first histogram bins;
determine a second histogram based on at least one of luminance components or chrominance components of a second frame of video, the second histogram having second histogram bins;
compute a sum of differences based on the first histogram bins and the second histogram bins;
determine, based on the computed sum of differences, that the first frame and the second frame correspond to a video transition; and
responsive to the determination that the first frame and the second frame correspond to the video transition, process a plurality of specified regions of interest within at least one of the first frame or the second frame to detect one or more logos in respective ones of the plurality of specified regions of interest.
9. The apparatus of claim 8 , wherein the processor is to:
determine the first histogram based on the luminance components and the chrominance components of the first frame; and
determine the second histogram based on the luminance components and the chrominance components of the second frame.
10. The apparatus of claim 8 , wherein the processor is to compare the sum of differences to a threshold to determine whether the first frame and the second frame correspond to the video transition.
11. The apparatus of claim 10 , wherein the threshold is adjustable.
12. The apparatus of claim 8 , wherein the first frame and the second frame are successive frames in the video.
13. The apparatus of claim 8 , wherein the video transition corresponds to a scene change.
14. The apparatus of claim 8 , wherein the processor is to compute the sum of differences by:
computing multiple bin-wise differences between respective corresponding bin values of the first histogram bins and the second histogram bins; and
totaling the multiple bin-wise differences.
15. A method comprising:
determining, by executing an instruction with a processor, a first histogram based on at least one of luminance components or chrominance components of a first frame of video, the first histogram having first histogram bins;
determining, by executing an instruction with the processor, a second histogram based on at least one of luminance components or chrominance components of a second frame of video, the second histogram having second histogram bins;
computing, by executing an instruction with the processor, a sum of differences based on the first histogram bins and the second histogram bins;
determining, by executing an instruction with the processor and based on the computed sum of differences, that the first frame and the second frame correspond to a video transition; and
responsive to the determining that the first frame and the second frame correspond to the video transition, processing, by executing an instruction with the processor, at least one specified region of interest within at least one of the first frame or the second frame to detect at least one logo in the at least one specified region of interest.
16. The method of claim 15 , wherein the determining of the first histogram and the determining of the second histogram include:
determining the first histogram based on the luminance components and the chrominance components of the first frame; and
determining the second histogram based on the luminance components and the chrominance components of the second frame.
17. The method of claim 15 , wherein the determining of whether the first frame and the second frame correspond to the video transition includes comparing the sum of differences to a threshold to determine whether the first frame and the second frame correspond to the video transition.
18. The method of claim 17 , wherein the threshold is adjustable.
19. The method of claim 15 , wherein the first frame and the second frame are successive frames in the video.
20. The method of claim 15 , wherein the video transition corresponds to a scene change.
21. The method of claim 15 , wherein the computing of the sum of differences includes:
computing multiple bin-wise differences between respective corresponding bin values of the first histogram bins and the second histogram bins; and
totaling the multiple bin-wise differences.