Method and apparatus for analyzing user-generated performance data
A system that incorporates the subject disclosure may include, for example, a processor that facilitates a performance of operations. The operations may include obtaining an identification of an action to monitor during a gameplay associated with a game, storing a representation of a sliding window of the gameplay in a first storage medium, monitoring, by the system, for the identification of the action during the gameplay, detecting the identification of the action during the gameplay responsive to the monitoring, and responsive to the detecting, storing the representation of the sliding window of the gameplay in a second storage medium that is different from the first storage medium. Additional embodiments are disclosed.
1 . A device, comprising:
a memory to store instructions; and
a processor coupled to the memory, wherein responsive to executing the instructions, the processor performs operations comprising:
accessing training game content;
acquiring one or more machine learning techniques based on the training game content that is accessed;
analyzing a first plurality of team-relevant video clips associated with a first participating team of a first team-based video gaming session, wherein the first team-based video gaming session is associated with a team-based video game, wherein the analyzing is performed via use of the one or more machine learning techniques that are acquired to train an artificial intelligence model to determine a team-relevant trigger associated with the first participating team;
identifying, via the artificial intelligence model, the team-relevant trigger associated with the first participating team in a second team-based video gaming session;
based on the identifying the team-relevant trigger in the second team-based video gaming session, processing a recording of the second team-based video gaming session to produce a second plurality of team-relevant video clips containing the team-relevant trigger;
comparing a first performance of the first participating team of a second team-based video gaming session and a second performance of a second participating team of the second team-based video gaming session according to the second plurality of team-relevant video clips to generate an assessment of the first performance of the first participating team;
generating team-based first strategy information for a first player of the first participating team and team-based second strategy information for a second player of the first participating team according to a beneficial strategy for the first participating team, wherein the beneficial strategy for the first participating team is determined based on the assessment of the first performance of the first participating team and a target gaming result collectively beneficial to the first participating team, and wherein the team-based first strategy information differs from the team-based second strategy information; and
providing the team-based first strategy information for the first player of the first participating team to equipment utilized by the first player of the first participating team.
2 . The device of claim 1 , wherein the operations further comprise receiving the first plurality of team-relevant video clips responsive to identifying a second team-relevant trigger associated with the first participating team in the first team-based video gaming session.
3 . The device of claim 1 , wherein the operations further comprise determining a set of players of the first participating team that contributed to a triggering event associated with the team-relevant trigger in the second team-based video gaming session, wherein the set of players of the first participating team includes the first player of the first participating team.
4 . The device of claim 1 , wherein the operations further comprise recording the second plurality of team-relevant video clips associated with the first participating team responsive to the team-relevant trigger during monitoring of gameplay of the team-based video game.
5 . The device of claim 1 , wherein the second plurality of team-relevant video clips associated with the first participating team include a team-relevant video clip recorded during the second team-based video gaming session of the team-based video game.
6 . The device of claim 1 , wherein the second plurality of team-relevant video clips associated with the first participating team include a team-relevant video clip recorded during a prior team-based video gaming session of the team-based video game.
7 . The device of claim 1 , wherein the operations further comprise sending the team-relevant trigger to the first participating team responsive to determining the team-relevant trigger.
8 . The device of claim 1 , wherein the team-based first strategy information indicates an action to be undertaken by the first player of the first participating team according to the beneficial strategy.
9 . The device of claim 1 , wherein the team-based first strategy information instructs the first player of the first participating team to perform a gaming action beneficial to the first participating team and not beneficial to the first player.
10 . The device of claim 1 , wherein the operations further comprise:
receiving a user-generated input generated by the first participating team during the second team-based video gaming session; and
providing the user-generated input to a software application.
11 . A non-transitory machine-readable storage medium, comprising instructions, wherein responsive to executing the instructions, a processor performs operations comprising:
acquiring at least one machine learning technique based on training game content;
analyzing a first plurality of team-relevant video clips associated with a first participating team of a first team-based video gaming session, wherein the first team-based video gaming session is associated with a team-based video game, wherein the analyzing is performed via use of the at least one machine learning technique to train an artificial intelligence model to perform computer-implemented image recognition to determine a team-relevant trigger associated with the first participating team;
identifying, via the artificial intelligence model, the team-relevant trigger associated with the first participating team in a second team-based video gaming session;
based on the identifying the team-relevant trigger in the second team-based video gaming session, processing a recording of the second team-based video gaming session to produce a second plurality of team-relevant video clips containing the team-relevant trigger;
comparing a first performance of the first participating team of a second team-based video gaming session and a second performance of a second participating team of the second team-based video gaming session according to the second plurality of team-relevant video clips to generate an assessment of the first performance of the first participating team;
generating team-based first strategy information for a first player of the first participating team and team-based second strategy information for a second player of the first participating team according to a beneficial strategy for the first participating team, wherein the beneficial strategy for the first participating team is determined based on the assessment of the first performance of the first participating team and a target gaming result collectively beneficial to the first participating team, and wherein the team-based first strategy information differs from the team-based second strategy information; and
providing the team-based first strategy information for the first player of the first participating team to equipment utilized by the first player of the first participating team.
12 . The non-transitory machine-readable storage medium of claim 11 , wherein the operations further comprise accessing the training game content.
13 . The non-transitory machine-readable storage medium of claim 12 , wherein the operations further comprise receiving the first plurality of team-relevant video clips responsive to identifying a second team-relevant trigger associated with the first participating team in the first team-based video gaming session.
14 . The non-transitory machine-readable storage medium of claim 11 , wherein the operations further comprise determining a set of players of the first participating team that contributed to a triggering event associated with the team-relevant trigger in the second team-based video gaming session, wherein the set of players of the first participating team includes the first player of the first participating team.
15 . The non-transitory machine-readable storage medium of claim 11 , wherein the operations further comprise recording the second plurality of team-relevant video clips associated with the first participating team responsive to the team-relevant trigger during monitoring of gameplay of the team-based video game.
16 . The non-transitory machine-readable storage medium of claim 11 , wherein the second plurality of team-relevant video clips associated with the first participating team include a team-relevant video clip recorded during the second team-based video gaming session of the team-based video game.
17 . The non-transitory machine-readable storage medium of claim 11 , wherein the second plurality of team-relevant video clips associated with the first participating team include a team-relevant video clip recorded during a prior team-based video gaming session of the team-based video game.
18 . A method, comprising:
acquiring, by a processing system including a processor, at least one machine learning technique based on training game content;
analyzing, by the processing system, a first plurality of team-relevant video clips associated with a first participating team of a first team-based video gaming session, wherein the first team-based video gaming session is associated with a team-based video game, wherein the analyzing is performed via use of the at least one machine learning technique to train an artificial intelligence model to perform computer-implemented image recognition to determine a team-relevant trigger associated with the first participating team;
identifying, via the artificial intelligence model, the team-relevant trigger associated with the first participating team in a second team-based video gaming session;
based on the identifying the team-relevant trigger in the second team-based video gaming session, processing a recording of the second team-based video gaming session to produce a second plurality of team-relevant video clips containing the team-relevant trigger;
comparing, by the processing system, a first performance of the first participating team of a second team-based video gaming session and a second performance of a second participating team of the second team-based video gaming session according to the second plurality of team-relevant video clips to generate an assessment of the first performance of the first participating team;
generating, by the processing system, team-based first strategy information for a first player of the first participating team and team-based second strategy information for a second player of the first participating team according to a beneficial strategy for the first participating team, wherein the beneficial strategy for the first participating team is determined based on the assessment of the first performance of the first participating team and a target gaming result collectively beneficial to the first participating team; and
providing, by the processing system, the team-based first strategy information for the first player of the first participating team to equipment utilized by the first player of the first participating team.
19 . The method of claim 18 , further comprising accessing, by the processing system, the training game content.
20 . The method of claim 18 , wherein the team-based first strategy information differs from the team-based second strategy information.