NDLI: Predicting movie ratings from audience behaviors

Content Provider	IEEE Xplore Digital Library
Author	Navarathna, R. Lucey, P. Carr, P. Carter, E. Sridharan, S. Matthews, I.
Copyright Year	2014
Description	Author affiliation: Queensland Univ. of Technolgy, QLD, Australia (Sridharan, S.) \|\| Disney Res., Pittsburgh, PA, USA (Navarathna, R.; Lucey, P.; Carr, P.; Matthews, I.) \|\| Carnegie Mellon Univ., Pittsburgh, PA, USA (Carter, E.)
Abstract	We propose a method of representing audience behavior through facial and body motions from a single video stream, and use these features to predict the rating for feature-length movies. This is a very challenging problem as: i) the movie viewing environment is dark and contains views of people at different scales and viewpoints; ii) the duration of feature-length movies is long (80-120 mins) so tracking people uninterrupted for this length of time is still an unsolved problem; and iii) expressions and motions of audience members are subtle, short and sparse making labeling of activities unreliable. To circumvent these issues, we use an infrared illuminated test-bed to obtain a visually uniform input. We then utilize motion-history features which capture the subtle movements of a person within a pre-defined volume, and then form a group representation of the audience by a histogram of pair-wise correlations over a small-window of time. Using this group representation, we learn our movie rating classifier from crowd-sourced ratings collected by rottentomatoes.com and show our prediction capability on audiences from 30 movies across 250 subjects (> 50 hrs).
Sponsorship	IEEE Comput. Soc.
Starting Page	1058
Ending Page	1065
File Size	7539569
Page Count	8
File Format	PDF
ISBN	9781479949854
DOI	10.1109/WACV.2014.6835987
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion pictures Face Optical imaging Tracking Cameras Watches Three-dimensional displays
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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