Automatically and programmatically generating crowdsourced trailers
Embodiments for automatically and programmatically generating content trailers in a crowdsourced manner are described herein. An embodiment operates by receiving interactions with streaming content performed by a plurality users who consumed the content, wherein the interactions are associated with a landing frame of the content. A point value is assigned to each of the interactions, and the point values of the interactions are accumulated for each of the landing frames. A subset of the interactions for a particular one of the landing frames that exceed a threshold point value is determined. From the subset, the interaction with the highest accumulated point value is selected and a trailer for the content is generated based on the selected interaction. The content and the trailer are provided.
1. A method comprising:
receiving interactions with streaming content performed by a plurality of users who consumed the content, wherein the interactions are associated with a landing frame of the content;
assigning a point value to each of the interactions, wherein the assigned point value corresponds to how long after a particular interaction the content is played prior to a subsequent interaction, wherein a longer post-interaction play time corresponds to a higher assigned point value;
identifying a plurality of windows of content within the streaming content, wherein each window comprises a plurality of frames;
accumulating the point values of the interactions for each of the landing frames within each of the plurality of windows;
selecting a particular one of the plurality of windows with a highest accumulated point value;
generating a trailer for the content based on the selected particular window; and
providing the content and the trailer.
2. The method of claim 1 , further comprising:
storing the interactions and point values in a marker database.
3. The method of claim 2 , further comprising:
ordering the stored interactions based on which landing frames of the content are associated with the interactions.
4. The method of claim 1 , wherein the content comprises the streaming content.
5. The method of claim 1 , wherein the determining comprises:
identifying at least one of the interactions that is associated with a single one of the landing frames and no other frames of the content; and
excluding the identified interaction from the subset.
6. The method of claim 1 , wherein the accumulating comprises averaging the point values.
7. The method of claim 1 , wherein the generating comprises:
determining a number of frames of the trailer; and
arranging the landing frame associated with the selected interaction in a middle of the determined number of frames of the trailer, wherein a number of frames prior to the landing frame is equal to a number of frames following the landing frame in the trailer.
8. The method of claim 1 , wherein at least one of the landing frames is used in at least two of the plurality of windows, and wherein at least one of the plurality of windows includes two or more landing frames.
9. The method of claim 1 , wherein the particular interaction comprises one of a fast-forward or rewind interaction that occurred prior to the post-interaction play time.
10. The method of claim 1 , wherein the interaction comprises multiple fast forward or rewind interactions.
11. A system comprising:
a memory; and
at least one processor coupled to the memory and configured to perform operations comprising:
receiving interactions with streaming content performed by a plurality of users who consumed the content, wherein the interactions are associated with a landing frame of the content;
assigning a point value to each of the interactions, wherein the assigned point value corresponds to how long after a particular interaction the content is played prior to a subsequent interaction, wherein a longer post-interaction play time corresponds to a higher assigned point value;
identifying a plurality of windows of content within the streaming content, wherein each window comprises a plurality of frames;
accumulating the point values of the interactions for each of the landing frames within each of the plurality of windows;
selecting a particular one of the plurality of windows with a highest accumulated point value; and
generating a trailer for the content based on the selected particular window.
12. The system of claim 11 , the operations further comprising:
storing the interactions and point values in a marker database.
13. The system of claim 12 , the operations further comprising:
ordering the stored interactions based on which landing frames of the content are associated with the interactions.
14. The system of claim 11 , wherein the content comprises the streaming content.
15. The system of claim 11 , wherein the determining comprises:
identifying at least one of the interactions that is associated with a single one of the landing frames and no other frames of the content; and
excluding the identified interaction from the subset.
16. The system of claim 11 , wherein the accumulating comprises averaging the point values.
17. The system of claim 11 , wherein the generating comprises:
determining a number of frames of the trailer; and
arranging the landing frame associated with the selected interaction in a middle of the determined number of frames of the trailer, wherein a number of frames prior to the landing frame is equal to a number of frames following the landing frame in the trailer.
18. A tangible computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
receiving interactions with streaming content performed by a plurality of users who consumed the content, wherein the interactions are associated with a landing frame of the content;
assigning a point value to each of the interactions, wherein the assigned point value corresponds to how long after a particular interaction the content is played prior to a subsequent interaction, wherein a longer post-interaction play time corresponds to a higher assigned point value;
identifying a plurality of windows of content within the streaming content, wherein each window comprises a plurality of frames;
accumulating the point values of the interactions for each of the landing frames within each of the plurality of windows;
selecting a particular one of the plurality of windows with a highest accumulated point value;
generating a trailer for the content based on the selected particular window; and
providing the content and the trailer.
19. The tangible computer-readable medium of claim 18 , the operations further comprising:
storing the interactions and point values in a marker database; and
ordering the stored interactions based on which landing frames of the content are associated with the interactions.
20. The tangible computer-readable medium of claim 18 , wherein the determining comprises:
identifying at least one of the interactions that is associated with a single one of the landing frames and no other frames of the content; and
excluding the identified interaction from the subset.