19,148 Hits in 6.1 sec

Predicting movie ratings from audience behaviors

Rajitha Navarathna, Patrick Lucey, Peter Carr, Elizabeth Carter, Sridha Sridharan, Iain Matthews
2014 IEEE Winter Conference on Applications of Computer Vision  
Using the audience ratings from, we then use this feature to predict the movie rating solely from audience behaviors.  ...  to predict the audience rating for an unseen movie.  ... 
doi:10.1109/wacv.2014.6835987 dblp:conf/wacv/NavarathnaLCCSM14 fatcat:dkcjnztcsrfodojxfuzybsikm4

Estimating Audience Engagement/Disengagement while Watching a Video

Prof. Archana Kale
2019 International Journal for Research in Applied Science and Engineering Technology  
There needs to develop a system which can estimate audience engagement and give the correct prediction of movie rating.  ...  higher accuracy in movie rating prediction.  ...  [1] 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.  ... 
doi:10.22214/ijraset.2019.6083 fatcat:opkhvi55fjbb7fx23ovtlebuxu

Estimating Audience Engagement for Prediction: A Survey

Shritika Wayker
2019 International Journal for Research in Applied Science and Engineering Technology  
To bypass these issues, this survey paper represents the various techniques used in facial expression detection from crowd-sourced for ratings and demonstrates its sentiment predictive capability.  ...  The movie theatre environment is dark and contains views of an audience at different scales and viewpoints. Finally, annotating audience sentiment at the frame-level is probably time-consuming task.  ...  PREDICTING MOVIE RATINGS Finally, inspect the effect of engagement analysis framework to the assignment of movie prediction.  ... 
doi:10.22214/ijraset.2019.5405 fatcat:6bwttvehpjhf7pz52vi4mmrxe4

Recognizing Induced Emotions of Movie Audiences From Multimodal Information

Michal Muszynski, Leimin Tian, Catherine Lai, Johanna Moore, Theodoros Kostoulas, Patrizia Lombardo, Thierry Pun, Guillaume Chanel
2019 IEEE Transactions on Affective Computing  
Moreover, we investigated multimodal modelling approaches to predict movie induced emotions from movie content based features, as well as physiological and behavioral reactions of movie audiences.  ...  Recognizing emotional reactions of movie audiences to affective movie content is a challenging task in affective computing.  ...  annotations of emotions induced in movie audiences as well as spectators' physiological and behavioral reactions to movie content.  ... 
doi:10.1109/taffc.2019.2902091 fatcat:c2fr4td7u5dqlk4ya4njwdviau

Construction and Validation of an Analytical Grid about Video Representations of Suicide ("MoVIES")

Christophe Gauld, Marielle Wathelet, François Medjkane, Nathalie Pauwels, Thierry Bougerol, Charles-Edouard Notredame
2019 International Journal of Environmental Research and Public Health  
The MoVIES score significantly predicted participants' strength of identification independently from their baseline empathy ((β = 0.20), p < 0.05). Conclusions.  ...  The MoVIES is available to scholars as a valid, reliable, and useful tool to estimate the amount of at-risk components of fictional suicidal behavior depicted in films, series, or television shows.  ...  The audience of each movie ranged from 5.330 to 168 million entries.  ... 
doi:10.3390/ijerph16152780 pmid:31382598 pmcid:PMC6696380 fatcat:sd2stujxvnbjhhxhs54hxrkwei

Does Movie Violence Increase Violent Crime?*

Gordon Dahl, Stefano DellaVigna
2009 Quarterly Journal of Economics  
The violence rating of movies is from The dotted lines are pointwise 95% confidence intervals.  ...  We find that violent crime decreases on days with larger theater audiences for violent movies.  ...  The violence rating of movies is from The audience data is obtained from box office sales (from deflated by the average price of a ticket.  ... 
doi:10.1162/qjec.2009.124.2.677 fatcat:t6uz5wjre5bo7a5m4tvygiflsa

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, Greg Mori
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Matrix and tensor factorization methods are often used for finding underlying low-dimensional patterns from noisy data.  ...  We apply our approach to a large dataset of facial expressions of moviewatching audiences (over 16 million faces).  ...  [35] where, they measured the distribution of shortterm correlations of audience motions to predict the overall rating of a movie. Collaborative Filtering.  ... 
doi:10.1109/cvpr.2017.637 dblp:conf/cvpr/DengN0MYMM17 fatcat:cje34hrjwnawlk3jhhmevunfjm

Genre-typical narrative arcs in films are less appealing to lay audiences and professional film critics

Taleen Nalabandian, Molly E. Ireland
2018 Behavior Research Methods  
In an archival sample of movie scripts, we tested whether genre-typicality predicted film ratings as a function of rater role (novice audience member or expert film critic).  ...  We predicted (1) that critics would prefer more disfluent (genreatypical) films and general audiences would prefer fluent (genre-typical) films, and (2) that these differences would be most pronounced  ...  Audience ratings Audience ratings were also obtained from Rotten Tomatoes and IMDb.  ... 
doi:10.3758/s13428-018-1168-7 fatcat:ivv3imnodjahheikc243vvh4ri

Appreciation as Audience Response: Exploring Entertainment Gratifications Beyond Hedonism

Mary Beth Oliver, Anne Bartsch
2010 Human Communication Research  
Appreciation as Audience Response 3 Appreciation as Audience Response: Exploring Entertainment Gratifications beyond Hedonism Although entertainment arguably accounts for the largest share of individuals  ...  The advent of new technologies and the fast paced development of new entertainment genres and formats have required scholars to explore the diversity of gratifications that viewers (and users) derive from  ...  Appreciation as Audience Response 21 Surprisingly, suspense did not predict favorable movie evaluation and enjoyment vs. appreciation ratings.  ... 
doi:10.1111/j.1468-2958.2009.01368.x fatcat:4fnwtp6lzbbk3j5yim2cd5i3km

R-Rated Movies, Bedroom Televisions, and Initiation of Smoking by White and Black Adolescents

Christine Jackson, Jane D. Brown, Kelly L. L'Engle
2007 Archives of Pediatrics & Adolescent Medicine  
Results: Among white adolescents, high relative expo-sure to R-rated movies predicted a significantly greater likelihood of smoking initiation at follow-up, and private access to television during early  ...  Research is needed to identify the antecedents of risky media use and to understand how audience attributes, including race and other factors, moderate the effects of risky media use on healthrelated behaviors  ...  Indeed, the fact that our television-use variables-which did not specifically indicate variation in exposure to smoking portrayals-predicted smoking behavior in essentially the same manner as R-rated-movie  ... 
doi:10.1001/archpedi.161.3.260 pmid:17339507 fatcat:ovlosnviofecbb4igkurg4rori

Prediction of Movie Performance using Machine Learning Algorithms

Shubham Pawar
2020 International Journal for Research in Applied Science and Engineering Technology  
The number of movies produced in the world is growing at an exponential rate and success rate of movie is of utmost importance since billions of dollars are invested in the making of each of these movies  ...  So, the prediction of the success of a movie is very essential to the film industry.  ...  Therefore, it is very straightforward to predict IMDb movie ratings when it comes to predicting the liking of audiences.  ... 
doi:10.22214/ijraset.2020.2102 fatcat:i3uozilpy5g6rgxbnceidmbmjq

The Perception of Film Attractiveness and Its Effect on the Audience Satisfaction, Intention and Investment

Dongjin Yang, Xueying Zhong
2016 Journal of Service Science and Management  
Then it analyzes the effect of the perception of film attractiveness on the audience satisfaction, intention, investment and the mediating effect of satisfaction.  ...  The findings demonstrate that: 1) satisfaction mediates film attractiveness and intention, and it also mediates film attractiveness and investment; 2) the path of film attractiveness affects audience is  ...  Intention questionnaires: 1) I would like to spend money, time and energy to watch Chinese movies. 2) Compared with foreign movies, I prefer to watch Chinese movies. 3) Most of the Chinese film from the  ... 
doi:10.4236/jssm.2016.91003 fatcat:hmazahf4jva67aroqwrq3cu5ei

Audience size and likelihood and intensity of response during a humorous movie

Sheldon G. Levy, William F. Fenley
1979 Bulletin of the Psychonomic Society  
Although responsiveness did increase throughout the film, the rates of increase did not agree with the predictions from the conformity hypothesis.  ...  The relationship between audience size and audience response was examined through unobtrusive observations of individuals attending the movie "M. A.S.H."  ...  Although level of laughter observed may differ from one judge to the next, changes in levels are reliably predicted.  ... 
doi:10.3758/bf03336909 fatcat:oo2rhbyyrbcnzjxlxdtggwo3ym

Love Your Country: EEG Evidence of Actor Preferences of Audiences in Patriotic Movies

Lian Zhu, Yufei Wu
2021 Frontiers in Psychology  
Behavioral results showed that audiences are more willing to watch patriotic movies starring skilled actors than to watch patriotic movies starring publicity actors.  ...  In this exploratory study, an electroencephalogram (EEG) with a rating task was used to investigate how actor types (i.e., skilled vs. publicity) in patriotic movies modulate the willingness of audiences  ...  We supposed that audiences would prefer skilled actors to publicity actors in patriotic movies, reflecting in behavioral rating scores and deflection of P3 and LPP amplitude, and theta ERS.  ... 
doi:10.3389/fpsyg.2021.717025 fatcat:554d6mwsmzf73fbqo7eavdxtei

Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation [article]

Miguel Campo, Cheng-Kang Hsieh, Matt Nickens, JJ Espinoza, Abhinav Taliyan, Julie Rieger, Jean Ho, Bettina Sherick
2018 arXiv   pre-print
The trained model not only makes accurate attendance and audience prediction for existing movies, but also successfully profiles new movies six to eight months prior to their release.  ...  Audience discovery is an important activity at major movie studios.  ...  The authors would like to thank Scott Bishoff, Kimberly Flaster, Ashley Cartwright and Jessica Gray from 20th Century Fox, and Vijay Reddy from Google, for their feedback.  ... 
arXiv:1807.04465v1 fatcat:3e3e2z2ukvdexhuzw25i4xo7yq
« Previous Showing results 1 — 15 out of 19,148 results