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Video recommendation based on affect

A video and emotional technology, applied in the field of video suggestions, can solve problems such as subjectivity, tediousness, and unreliability

Inactive Publication Date: 2013-10-02
AFFECTIVA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Evaluating multiple parts of a video is even more tedious and difficult, in which case it may be useful to evaluate a short period of time in the video
Recommendations based on this star rating are imprecise, subjective, and often unreliable

Method used

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  • Video recommendation based on affect
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Examples

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Embodiment Construction

[0020] This disclosure provides a description of different methods and systems for analyzing people's mental states as they browse videos. The ability to correctly assess people's reactions to videos makes it possible to precisely recommend other videos. These videos may be used for any purpose including but not limited to entertainment, education or general information. The assessment of mental state of video responses provides an unparalleled understanding of people's real responses to these videos. A mental state can be an emotional state or a cognitive state. Examples of emotional states include happiness or sadness. Examples of cognitive states include concentration or confusion. Observing, capturing, and analyzing these mental states can yield important information about people's responses to videos. Some terms frequently used in mental state assessment are arousal and / or valence. Arousal represents the amount of activation or stimulation to a person. Valence indic...

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Abstract

Analysis of mental states is provided to enable data analysis pertaining to video recommendation based on affect. 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.

Description

[0001] Related applications [0002] This application claims US Provisional Patent Application "Recommendation and Visualization of Affect Responses to Videos," filed February 27, 2011, Serial No. 61 / 447,089, filed February 28, 2011 "Video Ranking Based on Affect" Serial No. 61 / 447,464, "Baseline Face Analysis" filed March 24, 2011 Serial No. 61 / 467,209, October 20, 2011 Filed "Mental State Analysis of Voters" Serial No. 61 / 549,560, filed December 7, 2011 "Mental State Evaluation Learning for Advertising" Serial No. 61 / 568,130, "Affect Based Concept Testing" filed December 28, 2011 Serial No. 61 / 580,880, and "Affect Based Concept Testing of Advertising Effectiveness" filed December 30, 2011 Evaluation of Advertisement Effectiveness)" Serial No. 61 / 581,913. Where jurisdiction permits, each of the foregoing applications is hereby incorporated by reference in its entirety. technical field [0003] This application relates generally to mental state analysis, and more specifica...

Claims

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Application Information

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IPC IPC(8): G06Q50/10G06K9/46G06Q50/22G06T7/00
CPCA61B5/165G06Q30/0631H04N21/251H04N21/4223H04N21/4668G06Q50/10
Inventor R·埃尔·卡里欧比理查德·斯科特·萨多夫斯基奥立佛·O·维尔德-史密斯罗莎琳德·赖特·皮卡德梅·巴赫贾特
Owner AFFECTIVA
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