Video recommendation using affect
First Claim
1. A computer-implemented method for affect based recommendations comprising:
- playing a first media presentation to an individual;
capturing mental state data, wherein the mental state data includes facial data, for the individual, while the first media presentation is played;
comparing the mental state data that was captured against mental state event temporal signatures;
inferring mental states, using one or more processors, based on the mental state data which was collected and analysis of the facial data for at least brow furrows;
correlating the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation,wherein the correlating is based on identifying and using maximally dissimilar responses during part of the correlating;
ranking the first media presentation relative to another media presentation based on the mental state data which was captured, wherein the ranking is for the individual based on the mental state data captured from the individual; and
recommending a second media presentation to the individual based on the mental state data for the individual which was captured wherein the recommending the second media presentation to the individual is further based on the correlating between the individual and the other people.
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Accused Products
Abstract
Analysis of mental states is provided to enable data analysis pertaining to video recommendation based on affect. Analysis and recommendation can be for socially shared livestream video. Video response may be 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 may be gathered for a group of viewers. In some embodiments, demographics 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.
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Citations
18 Claims
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1. A computer-implemented method for affect based recommendations comprising:
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playing a first media presentation to an individual; capturing mental state data, wherein the mental state data includes facial data, for the individual, while the first media presentation is played; comparing the mental state data that was captured against mental state event temporal signatures; inferring mental states, using one or more processors, based on the mental state data which was collected and analysis of the facial data for at least brow furrows; correlating the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation, wherein the correlating is based on identifying and using maximally dissimilar responses during part of the correlating; ranking the first media presentation relative to another media presentation based on the mental state data which was captured, wherein the ranking is for the individual based on the mental state data captured from the individual; and recommending a second media presentation to the individual based on the mental state data for the individual which was captured wherein the recommending the second media presentation to the individual is further based on the correlating between the individual and the other people. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer program product embodied in a non-transitory computer readable medium comprising:
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code for playing a first media presentation to an individual; code for capturing mental state data, wherein the mental state data includes facial data, for the individual while the first media presentation is played; code for inferring mental states, executed on one or more processors, based on the mental state data which was collected and analysis of the facial data for at least brow furrows; code for correlating the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation, wherein the correlating is based on identifying and using maximally dissimilar responses during part of the correlating; code for ranking the first media presentation relative to another media presentation based on the mental state data which was captured; and code for recommending a second media presentation to the individual based on the mental state data for the individual which was captured wherein the recommending the second media presentation to the individual is further based on the correlating between the individual and the other people.
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18. A computer system for affect based recommendations comprising:
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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; capture mental state data, wherein the mental state data includes facial data, for the individual while the first media presentation is played; infer mental states, using the one or more processors, based on the mental state data which was collected and analysis of the facial data for at least brow furrows; correlate the mental state data which was captured for the individual to mental state data collected from other people who experienced the first media presentation, wherein the correlating is based on identifying and using maximally dissimilar responses during part of the correlating; rank the first media presentation relative to another media presentation based on the mental state data which was captured; and recommend a second media presentation to the individual based on the mental state data for the individual which was captured wherein recommendation of the second media presentation to the individual is further based on correlation between the individual and the other people.
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Specification