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Automatic detection of Flash movie genre using Bayesian approach

Dawei Ding, Jun Yang, Qing Li, Liping Wang, Liu Wenyin
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)  
In this paper we present a method for detecting the Flash genre quickly and easily by employing a Bayesian approach.  ...  Classification results from our experiments on thousands of Flash movies demonstrate the usefulness of this approach.  ...  We have presented in this paper an approach to analyze the structural features of Flash movies and to integrate this information into automatic genre-detection using Bayesian classifier. , can be removed  ... 
doi:10.1109/icme.2004.1394264 fatcat:kwhpdbxcondubbsdaz2eutzqle

Automatic Generation of Movie Trailers using Ontologies

The SVP Group, Mediarep.Org
2021 Image  
In this paper we introduce the approach of automatically generating entertaining Hollywood-like trailers based on a trailer grammar, enhanced by an ontology.  ...  The extraction of features from movies using state-of-the-art image and audio processing techniques builds the foundation for the selection of meaningful and usable material, which is re-assembled according  ...  Conclusion and Future Work This paper presents a novel approach of intensively using a knowledge base (rules) in combination with data automatically extracted out of a movie by different image and audio  ... 
doi:10.25969/mediarep/16750 fatcat:gceesj2dt5eynh24evr65s3gou

Multimodal Violence Detection in Hollywood Movies: State-of-the-Art and Benchmarking [chapter]

Claire-Hélène Demarty, Cédric Penet, Bogdan Ionescu, Guillaume Gravier, Mohammad Soleymani
2014 Fusion in Computer Vision  
This paper introduces a benchmark evaluation targeting the detection of violent scenes in Hollywood movies.  ...  analysis of two of the best performing multimodal systems.  ...  We would also like to acknowledge the MediaEval Multimedia Benchmark for providing the framework to evaluate the task of violent scene detection.  ... 
doi:10.1007/978-3-319-05696-8_8 dblp:series/acvpr/DemartyPIGS14 fatcat:tpj6kk2wl5g7blo2vrvzsqjwom

Video Categorization Using Semantics and Semiotics [chapter]

Zeeshan Rasheed, Mubarak Shah
2003 Video Mining  
Therefore, automatic genre classification of movies is an important task, and with the trends in technology, likely to become far more relevant in the near future.  ...  Thus, we have provided an automatic method of video content annotation which is crucial for efficient media access. Figure 7 . 1 . 71 Our approach.  ... 
doi:10.1007/978-1-4757-6928-9_7 fatcat:bjeyqtfrefgvnp3clvk4ykkop4

Multimodal Video Indexing: A Review of the State-of-the-art

Cees G.M. Snoek, Marcel Worring
2005 Multimedia tools and applications  
Efficient and effective handling of video documents depends on the availability of indexes. Manual indexing is unfeasible for large video collections. In this paper we survey several methods aiming  ...  This research is sponsored by the ICES/KIS Multimedia Information Analysis project and TNO Institute of Applied Physics (TPD).  ...  Acknowledgements The authors would like to thank Jeroen Vendrig and Ioannis Patras from the University of Amsterdam for their valuable comments and suggestions.  ... 
doi:10.1023/b:mtap.0000046380.27575.a5 fatcat:cskgpbfx5bgapl5uv72cs352ae

Affective Video Content Analysis: A Multidisciplinary Insight

Yoann Baveye, Christel Chamaret, Emmanuel Dellandrea, Liming Chen
2017 IEEE Transactions on Affective Computing  
In this paper, a multidisciplinary state-of-the-art for affective movie content analysis is given, in order to promote and encourage exchanges between researchers from a very wide range of fields.  ...  Previous global and continuous affective video content analysis work, including video emotion recognition and violence detection, are also presented in order to point out the limitations of affective video  ...  The audio features (audio energy, audio zero crossing rate, etc.) , and video features (shot duration, number of flashes, etc.) are separately used in two independent Bayesian networks.  ... 
doi:10.1109/taffc.2017.2661284 fatcat:vzs2eb2sr5g67e75w6pm5dfhke

A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network

Kam Fung Yeung, Yanyan Yang, David Ndzi
2012 Journal of Internet Services and Applications  
An analytic hierarchy process based multi-criteria ranking (AHP-MCR) approach has been developed and used to rate recommendations in a variety of domains.  ...  The paper also proposes a strategy for using Bayesian networks for recommendation services.  ...  Section 4 introduces the AHP-MCR approach. Section 5 describes the Bayesian network used to eliminate data sparsity for new users.  ... 
doi:10.1007/s13174-012-0061-3 fatcat:w2iy6iradzeefi3uwukninihpi

A robust multi-feature cut detection algorithm for video segmentation

Gianluigi Ciocca
2010 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
To improve the precision of the cut detection algorithm, a temporal pattern analysis model, and a flashes removal are also proposed.  ...  In this paper we propose an algorithm for cut detection exploiting an innovative, robust frame difference measure. The measure is based on a combination of different visual features.  ...  "Stgen" is a trailer of a science fiction movie. Like many movies of this genres, it shows very dark scenes, explosions, and fast camera motion. Table 5 .  ... 
doi:10.5565/rev/elcvia.335 fatcat:6d2mhdordbblbe5v6k4kff4rfq

A Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video  ...  Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide.  ...  . 2) Video Genre Classification: Video genre classification is the classification of videos into different genres such as "movie," "news," "sports," and "cartoon."  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

Large scale content analysis engine

David Gibbon, Zhu Liu
2009 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining - LS-MMRM '09  
Metadata ingest, augmentation and delivery using a standards-based approach enable the CAE to serve a range of content processing applications.  ...  Media processing includes shot boundary detection, automatic speech recognition, face detection, clustering of shots and faces, speaker segmentation, closed caption alignment, concept detection, and transcoding  ...  We use a multimodal approach to detect anchorperson, where both speaker segmentation/clustering and face detection/ clustering are utilized.  ... 
doi:10.1145/1631058.1631076 dblp:conf/mm/GibbonL09 fatcat:csgeoe5bhrbrdlvjcan4uky2wy

A Novel Element Detection Method in Audio Sensor Networks

Qi Li, Miao Zhang, Guoai Xu
2013 International Journal of Distributed Sensor Networks  
However, most previous works on audio element detection require a large number of training examples to obtain satisfactory results.  ...  We first break down audio clips into a collection of simple "audio elements, " and train these audio elements offline using statistical learning.  ...  As shown in Table 6 , for traffic environment monitor, the detection precision of using Bayesian decision is much better than that of max log-likelihood.  ... 
doi:10.1155/2013/607187 fatcat:leju5hjotnee7os3bcn7ge6z7a

Weakly Supervised Joint Sentiment-Topic Detection from Text

Chenghua Lin, Yulan He, Richard Everson, Stefan Ruger
2012 IEEE Transactions on Knowledge and Data Engineering  
This is verified by the experimental results on datasets from five different domains where the JST model even outperforms existing semi-supervised approaches in some of the datasets despite using no labelled  ...  Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text.  ...  [3] classified the polarity of movie reviews with the traditional supervised machine learning approaches and achieved the best results using SVMs.  ... 
doi:10.1109/tkde.2011.48 fatcat:n3x5torkvvglphlcfvfynr4n2u

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

The Shopping Experience of Tomorrow: Human-Centered and Resource-Adaptive [chapter]

Wolfgang Wahlster, Michael Feld, Patrick Gebhard, Dominikus Heckmann, Ralf Jung, Michael Kruppa, Michael Schmitz, Lübomira Spassova, Rainer Wasinger
2010 Resource-Adaptive Cognitive Processes  
The novel concept of "Product Associated Displays" is a way of providing visual feedback to users interacting with physical objects in an instrumented shop.  ...  Throughout the whole chapter we explain our ideas with the recurrent theme of a shop that consists of instrumented shelves, public displays, audio systems, and mobile devices for each user.  ...  which encouraged us to pursue this approach.  ... 
doi:10.1007/978-3-540-89408-7_10 dblp:series/cogtech/WahlsterFGHJKSSW11 fatcat:gl7ysdwmzvgwjctrhvsp5lfi2y

Wordification: Propositionalization by unfolding relational data into bags of words

Matic Perovšek, Anže Vavpetič, Janez Kranjc, Bojan Cestnik, Nada Lavrač
2015 Expert systems with applications  
One of the established approaches to RDM is propositionalization, characterized by transforming a relational database into a single-table representation.  ...  This paper presents the wordification methodology, together with an experimental comparison of several propositionalization approaches on seven relational datasets.  ...  This database contains tables of movies, actors, movie genres, directors, and director genres.  ... 
doi:10.1016/j.eswa.2015.04.017 fatcat:mwknln4tpbb5tcbbiv6fdskjhq
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