Computer-implemented system and method for enhancing visual representation to individuals participating in a conversation

1. A computer-implemented method for enhancing visual representation to individuals participating in a computer-implemented conversation, comprising:

analyzing, by a processor, video data for a plurality of individuals participating in one or more conversations;

generating, by a processor, based on the video data, a plurality of possible conversational configurations of the individuals, each possible conversational configuration comprising one or more pair-wise probabilities of at least two of the individuals;

assigning, by a processor, a probability weight to each of the pair-wise probabilities comprising a likelihood that the individuals of that pair-wise probability are participating in one of the conversations;

determining, by a processor, a probability of each possible conversational configuration by combining the probability weights for the pair-wise probabilities of that possible conversational configuration;

selecting, by a processor, one of the possible conversational configurations with the highest probability as a most probable configuration;

determining, by a processor, the individuals participating in the conversations based on the pair-wise probabilities of the most probable configuration;

generating, by a processor, an enhanced visual representation for each individual participating in the determined conversations, and

displaying, by a display, the enhanced visual representation of each individual participating in the determined conversations to the plurality of individuals within a graphical user interface on the display.

2. A method according to claim 1 , further comprising:

calculating, by a processor, a mean of the combined probability weights for the pair-wise probabilities of each possible conversational configuration as the probability of that possible conversational configuration.

3. A method according to claim 1 , further comprising:

determining, by a processor, at least one of the possible conversational configurations, comprising:

representing, by a processor, each of the plurality of individuals as a node;

forming, by a processor, the pair-wise probabilities by connecting two or more nodes with at least one edge; and

combining, by a processor, the pair-wise probabilities as the possible conversational configuration.

4. A method according to claim 1 , further comprising:

maintaining, by a processor, at least one of the determined conversations for a minimum number of timeslices.

5. A method according to claim 1 , further comprising:

providing, by a processor, the individuals of one of the conversations with a different visual representation than members of a different conversation.

6. A method according to claim 1 , further comprising:

highlighting, by a display, for one of the individuals in one of the conversations, the other individuals in that conversation.

7. A method according to claim 1 , further comprising:

generating, by a processor, a participant graph comprising a mapping of all possible parings of the plurality of individuals; and

assigning, by a processor, a weight to each pairing of the plurality of individuals.

8. A method according to claim 7 , further comprising:

identifying, by a processor, for each pair-wise probability, the pairing represented by that pair-wise probability; and

assigning, by a processor, the weight of the pairing to the pair-wise probability.

9. A method according to claim 1 , wherein the visual representations comprise at least one of graphical and textual representations.

10. A method according to claim 1 , further comprising:

providing, by a processor, at least one of the individuals with an override option; and

allowing, by a processor, vocalizations from other individuals to be replaced by vocalizations from the individual with the override option.

11. A computer-implemented system for enhancing visual representation to individuals participating in a computer-implemented conversation, comprising at least one processor configured to:

analyze video data for a plurality of individuals participating in one or more conversations;

generate based on the video data, a plurality of possible conversational configurations of the individuals, each possible conversational configuration comprising one or more pair-wise probabilities of at least two of the individuals;

assign a probability weight to each of the pair-wise probabilities comprising a likelihood that the individuals of that pair-wise probability are participating in one of the conversations;

determine a probability of each possible conversational configuration by combining the probability weights for the pair-wise probabilities of that possible conversational configuration;

select one of the possible conversational configurations with the highest probability as a most probable configuration;

determine the individuals participating in the conversations based on the pair-wise probabilities of the most probable configuration; and

generate an enhanced visual representation within a graphic user interface displayed on a computer screen for each individual participating in the determined conversations displayed to the plurality of individuals.

12. A system according to claim 11 , wherein the at least one processor is further configured to:

calculate a mean of the combined probability weights for the pair-wise probabilities of each possible conversational configuration as the probability of that possible conversational configuration.

13. A system according to claim 11 , wherein the at least one processor is further configured to:

determine at least one of the possible conversational configurations by representing each of the plurality of individuals as a node, forming the pair-wise probabilities by connecting two or more nodes with at least one edge, and combining the pair-wise probabilities as the possible conversational configuration.

14. A system according to claim 11 , wherein the at least one processor is further configured to:

maintain at least one of the determined conversations for a minimum number of timeslices.

15. A system according to claim 11 , further comprising:

a display to provide the individuals of one of the conversations with a different visual representation than members of a different conversation.

16. A system according to claim 11 , further comprising:

a visual display module to highlight for one of the individuals in one of the conversations, the other individuals in that conversation.

17. A system according to claim 11 , wherein the at least one processor is further configured to:

generate a participant graph comprising a mapping of all possible parings of the plurality of individuals; and

assign a weight to each pairing of the plurality of individuals.

18. A system according to claim 17 , wherein the at least one processor is further configured to:

identify for each pair-wise probability, the pairing represented by that pair-wise probability and to assign the weight of the pairing to the pair-wise probability.

19. A system according to claim 11 , wherein the visual representations comprise at least one of graphical and textual representations.

20. A system according to claim 11 , wherein the at least one processor is further configured to:

provide at least one of the individuals with an override option and to allow vocalizations from other individuals to be replaced by vocalizations from the individual with the override option.