Video recommendation via affect
First Claim
Patent Images
1. A computer-implemented method for affect based recommendations comprising:
- playing a first media presentation to an individual on a video client;
capturing mental state data for the individual using the video client, wherein the mental state data includes video facial data from the individual during the first media presentation playing;
comparing, on an analysis server, the mental state data that was captured for the individual against a plurality of mental state event temporal signatures, wherein the mental state event temporal signatures include a shape of an intensity transition;
ranking, on the analysis server, the first media presentation relative to another media presentation based on the mental state data which was captured for the individual, wherein the ranking is for the individual;
correlating, on the analysis server, the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation; and
recommending, using one or more processors in at least one of the video client and the analysis server, a second media presentation to the individual based on the mental state data which was captured for the individual and the correlating, wherein the recommending the second media presentation to the individual is further based on the comparing of the mental state data to the plurality of mental state event temporal signatures.
1 Assignment
0 Petitions
Accused Products
Abstract
Analysis of mental state data is provided to enable video recommendations via affect. Analysis and recommendation is made for socially shared live-stream video. Video response is evaluated based on viewing and sampling various videos. Data is captured for viewers of a video, where the data includes facial information and/or physiological data. Facial and physiological information is gathered for a group of viewers. In some embodiments, demographic information is collected and used as a criterion for visualization of affect responses to videos. In some embodiments, data captured from an individual viewer or group of viewers is used to rank videos.
-
Citations
36 Claims
-
1. A computer-implemented method for affect based recommendations comprising:
-
playing a first media presentation to an individual on a video client; capturing mental state data for the individual using the video client, wherein the mental state data includes video facial data from the individual during the first media presentation playing; comparing, on an analysis server, the mental state data that was captured for the individual against a plurality of mental state event temporal signatures, wherein the mental state event temporal signatures include a shape of an intensity transition; ranking, on the analysis server, the first media presentation relative to another media presentation based on the mental state data which was captured for the individual, wherein the ranking is for the individual; correlating, on the analysis server, the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation; and recommending, using one or more processors in at least one of the video client and the analysis server, a second media presentation to the individual based on the mental state data which was captured for the individual and the correlating, wherein the recommending the second media presentation to the individual is further based on the comparing of the mental state data to the plurality of mental state event temporal signatures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
-
-
35. A computer program product stored on a non-transitory computer-readable medium for affect based recommendations, the computer program product comprising code which causes one or more processors to perform operations of:
-
playing a first media presentation to an individual on a video client; capturing mental state data for the individual on the video client, wherein the mental state data includes video facial data from the individual during the first media presentation playing; comparing, on an analysis server, the mental state data that was captured for the individual against a plurality of mental state event temporal signatures, wherein the mental state event temporal signatures include a shape of an intensity transition; ranking, on the analysis server, the first media presentation relative to another media presentation based on the mental state data which was captured for the individual, wherein the ranking is for the individual; correlating, on the analysis server, the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation; and recommending, using at least one of the analysis server and the video client, a second media presentation to the individual based on the mental state data which was captured for the individual and the correlating, wherein the recommending the second media presentation to the individual is further based on the comparing of the mental state data to the plurality of mental state event temporal signatures.
-
-
36. A computer system for affect based recommendations comprising:
-
a memory for storing instructions; one or more processors attached to the memory wherein the one or more processors are configured to; play a first media presentation to an individual on a video client; capture mental state data for the individual using the video client, wherein the mental state data includes video facial data from the individual during the first media presentation playing; compare, on an analysis server, the mental state data that was captured for the individual against a plurality of mental state event temporal signatures wherein the mental state event temporal signatures include a shape of an intensity transition; rank, on the analysis server, the first media presentation relative to another media presentation based on the mental state data which was captured for the individual, wherein the ranking is for the individual; correlate, on the analysis server, the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation; and recommend, using at least one of the video client and the analysis server, a second media presentation to the individual based on the mental state data which was captured for the individual and the correlation, wherein the recommending the second media presentation to the individual is further based on comparing of the mental state data to the plurality of mental state event temporal signatures.
-
Specification