Detection of common media segments
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
1. A method of detecting a graphic, the method comprising:
obtaining one or more video frames of unknown media segment, wherein the unknown media segment is being displayed by a media device, and wherein at least one of the one or more video frames includes a graphic;
generating one or more cues using pixel data of the one or more video frames;
detecting the graphic by identifying one or more reference cues stored in a database that correspond to the one or more cues, wherein the one or more reference cues include a representation of the graphic;
identifying a media content stream associated with the unknown media segment based on detecting the graphic; and
facilitating a transmission of a particular media segment for presentation by the media device, wherein the particular media segment is selected based on identifying the media content stream of the unknown media segment, and wherein the particular media segment is contextually related to the unknown media segment.
2. The method of claim 1 , wherein the one or more reference cues are identified using a distance algorithm.
3. The method of claim 1 , wherein the graphic includes at least one of a banner, a logo, or information related to a media program.
4. The method of claim 1 , wherein the unknown media segment is an unscheduled media segment.
5. The method of claim 1 , wherein the one or more cues are generated using a perceptual hashing algorithm.
6. The method of claim 1 , wherein the one or more cues are generated using scale-invariant feature transform or speeded up robust features.
7. A system comprising:
one or more processors; and
a non-transitory computer readable medium including instructions that, when executed by the one or more processors cause the one or more processors to perform operations including:
obtaining one or more video frames of unknown media segment, wherein the unknown media segment is being displayed by a media device, and wherein at least one of the one or more video frames includes a graphic;
generating one or more cues using pixel data of the one or more video frames;
detecting the graphic by identifying one or more reference cues stored in a database that correspond to the one or more cues, wherein the one or more reference cues include a representation of the graphic;
identifying a media content stream associated with the unknown media segment based on detecting the graphic; and
facilitating a transmission of a particular media segment for presentation by the media device, wherein the particular media segment is selected based on identifying the media content stream of the unknown media segment, and wherein the particular media segment is contextually related to the unknown media segment.
8. The system of claim 7 , wherein the one or more reference cues are identified using a distance algorithm.
9. The system of claim 7 , wherein the graphic includes at least one of a banner, a logo, or information related to a media program.
10. The system of claim 7 , wherein the unknown media segment is an unscheduled media segment.
11. The system of claim 7 , wherein the one or more cues are generated using a perceptual hashing algorithm.
12. The system of claim 7 , wherein the one or more cues are generated using scale-invariant feature transform or speeded up robust features.
13. A non-transitory computer readable medium including instructions that, when executed by one or more processors cause the one or more processors to perform operations including:
obtaining one or more video frames of unknown media segment, wherein the unknown media segment is being displayed by a media device, and wherein at least one of the one or more video frames includes a graphic;
generating one or more cues using pixel data of the one or more video frames;
detecting the graphic by identifying one or more reference cues stored in a database that correspond to the one or more cues, wherein the one or more reference cues include a representation of the graphic;
identifying a media content stream associated with the unknown media segment based on detecting the graphic; and
facilitating a transmission of a particular media segment for presentation by the media device, wherein the particular media segment is selected based on identifying the media content stream of the unknown media segment, and wherein the particular media segment is contextually related to the unknown media segment.
14. The non-transitory computer readable medium of claim 13 , wherein the one or more reference cues are identified using a distance algorithm.
15. The non-transitory computer readable medium of claim 13 , wherein the graphic includes at least one of a banner, a logo, or information related to a media program.
16. The non-transitory computer readable medium of claim 13 , wherein the unknown media segment is an unscheduled media segment.
17. The non-transitory computer readable medium of claim 13 , wherein the one or more cues are generated using one of a perceptual hashing algorithm, scale-invariant feature transform, or speeded up robust features.