Stem movi$ (all stems)

54 papers:

HT-2015-MagdyDW #quote #twitter

“I like ISIS, but I want to watch Chris Nolan’s new movie”: Exploring ISIS Supporters on Twitter (WM, KD, IW), pp. 321–322.

DUXU-DD-2015-Mesbahi #exclamation #interactive

Human-Robot Interaction Ethics in Sci-Fi Movies: Ethics Are Not “There”, We Are the Ethics! (MEM), pp. 590–598.

HIMI-IKD-2015-ImajiF #generative #summary #visual notation

Generating Summary Videos Based on Visual and Sound Information from Movies (YI, MF), pp. 190–203.

DUXU-TMT-2014-IioIM #database #design #user interface

The Database on Near-Future Technologies for User Interface Design from SciFi Movies (JI, SI, HM), pp. 572–579.

DUXU-TMT-2014-Kurosu #user interface

User Interfaces That Appeared in SciFi Movies and Their Reality (MK), pp. 580–588.

CIKM-2014-KimHYCK #retrieval

Exploiting Knowledge Structure for Proximity-aware Movie Retrieval Model (SK, KH, MYY, SC, SK), pp. 1847–1850.

ICPR-2014-LuWW #detection #summary

Audiotory Movie Summarization by Detecting Scene Changes and Sound Events (TL, YW, GW), pp. 756–760.

KDD-2014-DiaoQWSJW #aspect-oriented #modelling #recommendation #sentiment

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) (QD, MQ, CYW, AJS, JJ, CW), pp. 193–202.

DUXU-PMT-2013-Kurosu13a

Sci-Fi Movies and the Pessimistic View for the Future Controlled Society of Totalitarianism (MK), pp. 94–99.

HIMI-LCCB-2013-WuN #interactive #process #recommendation

Integrating the Anchoring Process with Preference Stability for Interactive Movie Recommendations (ICW, YFN), pp. 639–648.

RecSys-2013-AzariaHKEWN #recommendation

Movie recommender system for profit maximization (AA, AH, SK, AE, OW, IN), pp. 121–128.

RecSys-2013-KoenigsteinP #embedded #feature model #matrix #recommendation

Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection (NK, UP), pp. 129–136.

ICSE-2013-DeRose #development

The connection between movie making and software development (keynote) (TD), p. 856.

ECIR-2012-OghinaBTR #predict #social #social media #using

Predicting IMDB Movie Ratings Using Social Media (AO, MB, MT, MdR), pp. 503–507.

ICPR-2012-GaoM #analysis #canonical #correlation #detection #kernel #multi #using

Multi-modality movie scene detection using Kernel Canonical Correlation Analysis (GG, HM), pp. 3074–3077.

RecSys-2012-Manzato #recommendation

Discovering latent factors from movies genres for enhanced recommendation (MGM), pp. 249–252.

SIGIR-2012-BonzaniniMR #summary

Opinion summarisation through sentence extraction: an investigation with movie reviews (MB, MMA, TR), pp. 1121–1122.

SAC-2012-MirizziNSR #recommendation #semantics #web

Web 3.0 in action: Vector Space Model for semantic (movie) Recommendations (RM, TDN, EDS, AR), pp. 403–405.

HIMI-v1-2011-KoCECCKH #recommendation

A Smart Movie Recommendation System (SKK, SMC, HSE, JWC, HC, LK, YSH), pp. 558–566.

RecSys-2011-SaidBLH #challenge #recommendation

Challenge on context-aware movie recommendation: CAMRa2011 (AS, SB, EWDL, JH), pp. 385–386.

CIKM-2010-Otterbacher #gender #metadata

Inferring gender of movie reviewers: exploiting writing style, content and metadata (JO), pp. 369–378.

RecSys-2010-BarrioR #collaboration #recommendation

Geolocated movie recommendations based on expert collaborative filtering (JBB, XAR), pp. 347–348.

DocEng-2009-RijsselbergenKVMW

Movie script markup language (DVR, BVDK, MV, EM, RVdW), pp. 161–170.

ICDAR-2009-SchullerSRK #analysis #bibliography #estimation #online #quote

“The Godfather” vs. “Chaos”: Comparing Linguistic Analysis Based on On-line Knowledge Sources and Bags-of-N-Grams for Movie Review Valence Estimation (BWS, JS, GR, TK), pp. 858–862.

HCI-NT-2009-MatsuoY #3d #named #visualisation

BunBunMovie: Scenario Visualizing System Based on 3-D Character (TM, TY), pp. 634–643.

HCI-VAD-2009-AliSLB #student

Developing, Deploying and Assessing Usage of a Movie Archive System among Students of Film Studies (NMA, AFS, HL, PB), pp. 567–576.

OCSC-2009-SongNKE #recommendation #using #word

A Proposed Movie Recommendation Method Using Emotional Word Selection (MS, HN, HGK, JE), pp. 525–534.

ECIR-2009-MoshfeghiAPJ #collaboration #predict #rating #recommendation #semantics

Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering (YM, DA, BP, JMJ), pp. 54–65.

RecSys-2009-PilaszyT #metadata #recommendation

Recommending new movies: even a few ratings are more valuable than metadata (IP, DT), pp. 93–100.

RecSys-2009-SymeonidisNM #named #recommendation

MoviExplain: a recommender system with explanations (PS, AN, YM), pp. 317–320.

CIKM-2008-WijayaB #random #rank #rating

A random walk on the red carpet: rating movies with user reviews and pagerank (DTW, SB), pp. 951–960.

CASE-2007-PlanckaertDBBR #algorithm

Metal transfer characterization with an active contour algorithm in MIG/MAG welding movies (JPP, EHD, DB, FB, FR), pp. 933–938.

HIMI-MTT-2007-SatoAT

A Method for Constructing a Movie-Selection Support System Based on Kansei Engineering (NS, MA, TT), pp. 526–534.

KDD-2007-ParkP #collaboration #ranking

Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.

CHI-2006-DrennerHFRT #web

Insert movie reference here: a system to bridge conversation and item-oriented web sites (SD, FMH, DF, JR, LGT), pp. 951–954.

CIKM-2006-ZhuangJZ #bibliography #mining #summary

Movie review mining and summarization (LZ, FJ, XZ), pp. 43–50.

ICPR-v1-2006-KoTSH #image #learning #segmentation

A New Image Segmentation Method for Removing Background of Object Movies by Learning Shape Priors (CHK, YPT, ZCS, YPH), pp. 323–326.

ITiCSE-2005-PaisB05a #education #programming #user interface

Use of flash movies for teaching GUI programming (RP, JPB), p. 390.

ICEIS-v5-2005-TyynelaJIKM #3d #design #user interface

Design Principles for Desktop 3D User Interfaces — Case Movie Plaza (MT, TJ, MI, PK, OM), pp. 85–90.

DRR-2004-OzawaTKNY #identification #image

Slide identification for lecture movies by matching characters and images (NO, HT, YK, SN, HY), pp. 74–81.

ICPR-v1-2004-TsaiHSST

Background Removal System for Object Movies (YPT, YPH, ZCS, JJS, SRT), pp. 608–611.

ICPR-v4-2004-BruniVK #performance

Fast Removal of Line Scratches in Old Movies (VB, DV, ACK), pp. 827–830.

ICPR-v4-2004-SatoKYI #interface #using

An Immersive Telepresence System with a Locomotion Interface Using High-Resolution Omnidirectional Movies (SI, TS, MK, NY), pp. 396–399.

FME-2003-FriasPBAM #alloy

Taking Alloy to the Movies (MFF, CLP, GB, NA, TSEM), pp. 678–697.

SAC-2003-Zimmermann #streaming

Streaming of DivX AVI Movies (RZ), pp. 979–982.

ICPR-v2-2002-ChenSLS #on the

On the Preview of Digital Movies (LHC, CWS, HYML, ACCS), pp. 997–1002.

ICPR-v2-2002-RasheedS #classification

Movie Genre Classification By Exploiting Audio-Visual Features Of Previews (ZR, MS), pp. 1086–1089.

ICPR-v3-2002-HaindlF #performance

Fast Restoration of Colour Movie Scratches (MH, JF), pp. 269–272.

ITiCSE-2000-Anderson #algorithm #geometry #interactive #student #using #visualisation

Algorithm visualization using QuickTime movies for student interaction (poster session).: algorithms from computational geometry (JMA), p. 185.

HT-1999-Vardi #interactive #linear #navigation

Navigation Scheme for Interactive Movies with Linear Narrative (GV), pp. 131–132.

CHI-1998-Johnson #game studies #interactive

Simplifying the Controls of an Interactive Movie Game (JAJ), pp. 65–72.

CHI-1995-HalgrenFT #animation

Amazing Animation: Movie Making for Kids (SLH, TF, DT), pp. 519–524.

VLDB-1994-OzdenBRS #database #low cost

A Low-Cost Storage Server for Movie on Demand Databases (BÖ, AB, RR, AS), pp. 594–605.

HPDC-1992-FaigleFHNPS #distributed #performance

MOVIE Model for Open Systems Based High Performance Distributed Computing (CF, WF, TH, JN, MP, DAS), pp. 37–56.