Methods and apparatus to predict end of streaming media using a prediction model
Apparatus to predict end of streaming media using a prediction model are disclosed herein. Examples disclosed herein comprise a predictor to determine a bandwidth rate associated with presentation of streaming media based on monitored traffic between a user device and the streaming media, a modeler to generate a prediction model based on characteristics of the bandwidth rate, and a forecaster to determine that a time when an output of the prediction model is below a minimum bandwidth threshold is a session end time for a streaming media session, the session end time corresponding to when the user device stops receiving the streaming media.
1. An apparatus comprising:
a logic circuit
a predictor to determine a flow of media data associated with streaming media to a user device;
a modeler to generate a prediction model using a mean value of the flow of the media data, an amplitude of the flow of the media data, and a standard deviation of the flow of the media data; and
a forecaster to identify an end of a streaming media session when an output of the prediction model satisfies a threshold,
wherein at least one of the predictor, the modeler, and the forecaster is implemented by the logic circuit.
2. The apparatus as defined in claim 1 , further including:
an identifier to determine a type of the streaming media presented on the user device; and
a threshold generator to set a bandwidth threshold based on the type of the streaming media.
3. The apparatus as defined in claim 2 , wherein the type of the streaming media is at least one of video and audio.
4. The apparatus as defined in claim 2 , further including a parameter generator to determine a decay factor for the prediction model based on the type of the streaming media.
5. The apparatus as defined in claim 4 , wherein the parameter generator is further to calculate prediction model parameters by:
determining the mean value of the flow of the media data;
determining the amplitude of the flow of the media data; and
determining the standard deviation of the flow of the media data.
6. The apparatus as defined in claim 1 , wherein the flow of the media data includes a bandwidth rate and a timestamp associated with the bandwidth rate.
7. The apparatus as defined in claim 6 , wherein the bandwidth rate is determined based on information received from a proxy, and wherein the proxy is intermediate to the user device and a streaming media distributor transmitting the streaming media to the user device.
8. A non-transitory computer readable storage medium comprising instructions that, when executed, cause a machine to, at least:
determine a flow of media data associated with streaming media to a user device;
generate a prediction model using a mean value of the flow of the media data, an amplitude of the flow of the media data, and a standard deviation of the flow of the media data; and
identify an end of a streaming media session when an output of the prediction model satisfies a threshold.
9. The non-transitory computer readable storage medium as defined in claim 8 , further including instructions that, when executed, cause the machine to:
determine a type of the streaming media presented on the user device; and
set a bandwidth threshold based on the type of the streaming media.
10. The non-transitory computer readable storage medium as defined in claim 9 , wherein the type of the streaming media is at least one of video and audio.
11. The non-transitory computer readable storage medium as defined in claim 9 , further including instructions that, when executed, cause the machine to determine a decay factor for the prediction model based on the type of the streaming media.
12. The non-transitory computer readable storage medium as defined in claim 11 , further including instructions that, when executed, cause the machine to calculate prediction model parameters by:
determining the mean value of the flow of the media data;
determining the amplitude of the flow of the media data; and
determining the standard deviation of the flow of the media data.
13. The non-transitory computer readable storage medium as defined in claim 8 , wherein the flow of the media data includes a bandwidth rate and a timestamp associated with the bandwidth rate.
14. The non-transitory computer readable storage medium as defined in claim 13 , wherein the bandwidth rate is determined based on information received from a proxy, and wherein the proxy is intermediate to the user device and a streaming media distributor transmitting the streaming media to the user device.
15. A method comprising:
determining a flow of media data associated with streaming media to a user device;
generating a prediction model using a mean value of the flow of the media data, an amplitude of the flow of the media data, and a standard deviation of the flow of the media data; and
identifying an end of a streaming media session when an output of the prediction model satisfies a threshold.
16. The method as defined in claim 15 , further including:
determining a type of the streaming media presented on the user device; and
setting a bandwidth threshold based on the type of the streaming media.
17. The method as defined in claim 16 , wherein the type of the streaming media is at least one of video and audio.
18. The method as defined in claim 16 , further including determining a decay factor for the prediction model based on the type of the streaming media.
19. The method as defined in claim 18 , furthering including calculating prediction model parameters by:
determining the mean value of the flow of the media data;
determining the amplitude of the flow of the media data; and
determining the standard deviation of the flow of the media data.
20. The method as defined in claim 15 , wherein the flow of the media data includes a bandwidth rate and a timestamp associated with the bandwidth rate.