We examine localised sound energy patterns, or events, that we associate with high level affect experienced with films. The study of sound energy events in conjunction with their intended affect enable the analysis of film at a higher conceptual level, such as genre. The various affect/emotional responses we investigate in this paper are brought about by well established patterns of sound energ...

We investigate the problem of automated video classification by analysing the low-level audio-visual signal patterns along the time course in a holistic manner. Five popular TV broadcast genre are studied including sports, cartoon, news, commercial and music. A novel statistically based approach is proposed comprising two important ingredients designed for implicit semantic content characterisa...

This paper discusses an approach for the feature extraction for audio genre classification and many other tasks of music information retrieval (MIR). Many musical genres are characterized not only by timbral information but also by temporal features such as rhythm patterns and bass-line patterns. In particular, modern music pieces mostly have certain fixed rhythm and bass-line patterns per genr...

Automatic music genre classification is one of the most challenging problems in music information retrieval and management of digital music database. In this paper, we propose a new method to classify music genres using text categorization methods. Differing from previous solutions which were mainly based on analysis on acoustic or symbolic audio signal, here we consider music as a text-like se...

Recent work in the sociology of music suggests a declining importance of genre categories. Yet other work in this research stream and in the sociology of classification argues for the continued prevalence of genres as a meaningful tool through which creators, critics and consumers focus their attention in the topology of available works. Building from work in the study of categories and categor...

This paper presents a comprehensive analysis of email hoaxing. Email hoaxes are deceptive messages that circulate in digital social networks through the forward function of email programs. The study is embedded in the question of genre change on the Internet: how genres evolve and migrate into the digital medium has recently become a central issue in research on computermediated communication. ...

Automatic classification of music pieces by genre is one of the crucial tasks in music categorization for intelligent navigation. In this work we present a multiExpert genre classification system based on acoustic, musical and timbre features. A novel rhythmic characteristic, 2D beat histogram is used as high-level musical feature. Timbre features are extracted by multiple-f0 detection algorith...

Drawing on research on authoritarianism, this study analyzes the relationship between levels of threat in society and representations of crime, law, and order in mass media, with a particular emphasis on the superhero genre. Although the superhero genre is viewed as an important site of mediated images of crime and law enforcement, cultural criminologists have been relatively quiet about this f...

This paper presents some findings around musical genres. The main goal is to analyse whether there is any agreement between a group of experts and a community, when defining a set of genres and their relationships. For this purpose, three different experiments are conducted using two datasets: the MP3.com expert taxonomy, and last.fm tags at artist level. The experimental results show a clear a...

This paper proposes a theoretical concept of cross cultural discursive competence (CCDC). As an initial step, it reviews and critiques a series of in the relevant areas of intercultural communication, genre analysis and contrastive rhetoric and points out that it is imperative to explore what CCDC is composed of. In addition, we also need to strengthen cross-cultural genre study in the light of...