VIDEO CONTENT ANALYSIS FOR AUTOMATIC DEMOGRAPHICS RECOGNITION OF USERS AND VIDEOS

摘要

A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

主权项

1. A computer-implemented method performed by a video hosting website, the method comprising:
accessing a plurality of content items containing audiovisual content and received from client devices of a plurality of users over a computer network; generating demographic distributions for at least one demographic attribute using viewer demographic data from user profiles of a plurality of users who have played the content items, the demographic distributions quantifying viewership of the content items for different values of the at least one demographic attribute; generating feature vectors at least in part from audiovisual content of video frames of the content items, the feature vectors comprising a list of content attribute values; generating, by a computer system, a prediction model that correlates the feature vectors and the demographic distributions; determining that a first user lacks a demographic profile; identifying a first plurality of content items played by the first user; identifying, for the first plurality of content items, demographic attribute values associated with the first plurality of content items by applying the prediction model to a set of feature vectors generated at least in part from video frames of the first plurality of content items; estimating demographic attributes values of the first user using the identified demographic attribute values of the first plurality of content items; generating a list of recommended content items to the first user based on the estimated demographic attribute values of the first user; and providing the generated list of recommended content items to the first user.