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Audio-visual encoding of multimedia content for enhancing movie recommendations

Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
2018 Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18  
Results are promising and show the potential of leveraging the audiovisual content for improving the quality of existing movie recommendation systems in service.  ...  This paper presents the method proposed for the recommender system task in Mediaeval 2018 on predicting user global ratings given to movies and their standard deviation through the audiovisual content  ...  When we watch a movie, a large amount of information is communicated to us through different multimedia channels, in particular, the audio and the visual channel.  ... 
doi:10.1145/3240323.3240407 dblp:conf/recsys/DeldjooCEISC18 fatcat:2z7njwv5fbhw7ng55446grwidu

Enhancing Video Recommendation Using Multimedia Content [chapter]

Yashar Deldjoo
2019 SpringerBriefs in Applied Sciences and Technology  
Variety of tasks related to movie recommendation using multimedia content have been studied.  ...  When we watch a movie, we can effortlessly register a lot of details conveyed to us (by the author) through different multimedia channels, in particular, the audio and visual modalities.  ...  Enhancing Video Recommendation Using Multimedia Content Enhancing Video Recommendation Using Multimedia Content  ... 
doi:10.1007/978-3-030-32094-2_6 fatcat:ejusjykphfbe3jwes6u3r55uxe

The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval

Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen
2019 MediaEval Benchmarking Initiative for Multimedia Evaluation  
The MediaEval 2019 Task "Multimedia for Recommender Systems" investigates the potential of leveraging multimedia content to enhance recommender systems.  ...  Thereby, we advance the state-of-the-art of content-based recommender systems by leveraging multimedia content.  ...  We argue that human interpretation of media items is by nature content-oriented in which multimedia content including the audio and visual content play a key role on driving users' preferences [7, 8]  ... 
dblp:conf/mediaeval/DeldjooKSLS19 fatcat:s4v7gc622ndsjfg6ca7rs5pbhq

Personalized and mobile digital TV applications

Konstantinos Chorianopoulos
2007 Multimedia tools and applications  
In this context, personalization research is concerned with the adaptation of content (e.g. movies, news, advertisements).  ...  In addition, the widespread adoption of multimedia computing has enabled the processing of TV content on personal devices such as mobile phones and PCs.  ...  In particular, the subjective quality of service for mobile TV depends on the perceived audio-visual quality of the consumed content and the interaction through which the user has to go to access it (e.g  ... 
doi:10.1007/s11042-006-0081-8 fatcat:ii7qyuyvnfhobdumbm4mujouhe

Movie genome: alleviating new item cold start in movie recommendation

Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
2019 User modeling and user-adapted interaction  
In this paper, we introduce a new movie recommender system that addresses the new item problem in the movie domain by (i) integrating state-of-the-art audio and visual descriptors, which can be automatically  ...  As of today, most movie recommendation services base their recommendations on collaborative filtering (CF) and/or content-based filtering (CBF) models that use metadata (e.g., genre or cast).  ...  In our approach, we follow a strategy that also recognizes the importance of low-level content (visual and audio) for movie recommendation and leverages it for new item CS movie recommendation.  ... 
doi:10.1007/s11257-019-09221-y fatcat:cnzhzxwjlfbd7g4hhafalhtji4

The Relative Effectiveness of Audio, Video, and Static Visual Computer-Mediated Presentations

A. Curtis LeeSing, Carol A. Miles
1999 Canadian Journal of Education  
We examined the relative effectiveness of three different forms of computer presentation: digital video presentations with text, audio-only presentations with text, and static visual presentations with  ...  We concluded that when computer-mediated presentations are being designed, the comparative efficiency of the learning medium might often be more pertinent than the effectiveness of media implementation  ...  for the needs of the learner or for the particular content at hand.  ... 
doi:10.2307/1585929 fatcat:7dkxkmw3q5fxrlmuykgcqwccmu

Assessing Quality of Experience of IPTV and Video on Demand Services in Real-Life Environments

Nicolas Staelens, Stefaan Moens, Wendy Van den Broeck, Ilse Marien, Brecht Vermeulen, Peter Lambert, Rik Van de Walle, Piet Demeester
2010 IEEE transactions on broadcasting  
The operators can no longer compete solely on the number of channels or content and increasingly make High Definition channels and Quality of Experience (QoE) a service differentiator.  ...  In this article, we propose a novel subjective quality assessment methodology based on full length movies.  ...  Koen Casier from Ghent University -IBBT and Philip Corriveau, Principal Engineer and Director of the User Experience Research Group at Intel Corporation for their invaluable contributions to this work.  ... 
doi:10.1109/tbc.2010.2067710 fatcat:ahzxjtxisvhalj7zfypzbiogty

Quality of experience study for multiple sensorial media delivery

Zhenhui Yuan, Gheorghita Ghinea, Gabriel-Miro Muntean
2014 2014 International Wireless Communications and Mobile Computing Conference (IWCMC)  
Traditional video sequences make use of both visual images and audio tracks which are perceived by human eyes and ears, respectively.  ...  Three sensorial effects (i.e. haptic, olfaction, and air-flowing) are selected for the purpose of demonstration.  ...  RELATED WORKS Multimedia data, unlike traditional media content that uses text only, refers to a combination of text, still images, animation, audio, and video.  ... 
doi:10.1109/iwcmc.2014.6906515 dblp:conf/iwcmc/YuanGM14 fatcat:fkrtus7jmrfnji46fuldnndnla

Trends in content-based recommendation

Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen
2019 User modeling and user-adapted interaction  
and audio features, in a recommender system for movies.  ...  For example, a content-based recommendation in the movie domain might result in an obscure, lowquality movie similar to those the user liked in the past.  ... 
doi:10.1007/s11257-019-09231-w fatcat:ftunw4mq5vgojifno3yqklfwbq

Introduction to Multimedia [chapter]

Hermann Maurer, Nick Scherbakov, Zahran Halim, Zaidah Razak
1998 From Databases to Hypermedia  
for the encoding of content.  ...  Audio-Visual Coding.  ...  greater reduction than simply having some encoded bits of audio. • Responsibility to create audio delegated to generation side.  ... 
doi:10.1007/978-3-642-58763-4_19 fatcat:56ebe253enec7lm6amz4casr4u

An In-Depth Study of Multimedia Elements for Programme Production in Television Stations in Lagos State, Nigeria

2019 Arts and Design Studies  
Multimedia graphics has played a significant role in design and visual communication; while television is a medium for accessing those designs for disseminating information.  ...  Multimedia refers to access of information by a variety of display media elements: text, graphics (vector), images (bitmap), audio (sound), motion pictures (animation) and video.  ...  nonlinear technique to enhance mode of content delivery.  ... 
doi:10.7176/ads/71-05 fatcat:jekp33cprrfdvkjwvjttmcos4q

The Virtual Video Gallery: a user‐centred media on‐demand system

Giancarlo Fortino, Wilma Russo
2004 Interactive Technology and Smart Education  
These environments, which facilitate usability and enhance user experience, are very suitable for supporting user-oriented application domains such as e-learning and entertainment.  ...  The convergence of multimedia, virtual reality and the Internet is promoting low-cost multimedia virtual environments which are easily accessible to large network communities.  ...  ), video encoding H.261, audio encoding GSM.  ... 
doi:10.1108/17415650480000010 fatcat:2avm65upevb3rhvyxxdjfqljhe

TrUMAn: Trope Understanding in Movies and Animations [article]

Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu
2021 arXiv   pre-print
Understanding and comprehending video content is crucial for many real-world applications such as search and recommendation systems.  ...  While recent progress of deep learning has boosted performance on various tasks using visual cues, deep cognition to reason intentions, motivation, or causality remains challenging.  ...  On the other hand, our TrUMAn directly inputs movie contents, including video and audio, which fits real-world scenarios such as search or recommendation.  ... 
arXiv:2108.04542v3 fatcat:xd43q4pss5dyrgc43m6iaao6jm

Editorial: advanced semantic and social multimedia technologies for future computing environment

Seungmin Rho, Damien Sauveron, Konstantinos Markantonakis
2012 Multimedia tools and applications  
The last paper entitled "Group Affinity based Social Trust Model for an Intelligent Movie Recommender System," by Park et al.  ...  [15] propose an artistic recoloring method that enhance the perception of complex scenes, while preserving the visual quality of the original image.  ... 
doi:10.1007/s11042-012-1105-1 fatcat:ozfpmxjdlrf7bc7ifs3kfe7kmi

Perceived Synchronization of Mulsemedia Services

Zhenhui Yuan, Ting Bi, Gabriel-Miro Muntean, Gheorghita Ghinea
2015 IEEE transactions on multimedia  
Unlike traditional multimedia, mulsemedia consists of other media types (i.e., haptic, olfaction, taste, etc.) in addition to audio and visual content.  ...  Multimedia synchronization involves a temporal relationship between audio and visual media components.  ...  Smell is therefore different from the media objects multimedia applications have become accustomed to, i.e. audio, visual and traditional media (text, images, animations), whose component media streams  ... 
doi:10.1109/tmm.2015.2431915 fatcat:xieuu5zlojdbrfrmhxb43clv3y
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