Music genre meta-data is of paramount importance for the organization of music repositories. People use genre in a natural way when entering a music store or looking into music collections. Automatic genre classification has become a popular topic in music information retrieval research. This work brings to symbolic music recognition some technologies, like the stochastic language models, alrea...

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...

This study investigated whether film viewers recognize four basic genres (comic, drama, action and nonfiction) on the basis of genre-typical event cues or of genretypical filmic realization cues of events. Event cues are similar to the narrative content of a film sequence, while filmic realization cues are similar to stylistic surface cues of a film sequence. It was predicted that genre recogni...

This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece. Individual classifiers are trained to account for each music segment. During classification, the output provided by each classifier is combined with ...

Taking a genre perspective on design, this article proposes eight design recommendations for online newspapers. These recommendations are based on features that mediate a specific purpose and use between publisher and audience, which we describe as genre rules in terms of purpose, form, and positioning. They are also based on genre change regarding design, and the heritage from print regarding ...

There has been a growing interest in genre as a powerful means of analysing and understanding texts in cross-disciplinary areas. Genres tend to be conceived as generic structures that constrain individuals and communicative events. In second language writing pedagogy, much attention has been given to raising ESL (English as a Second Language) students’ structural awareness of genres as the rout...

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...

Music genres allow to categorize musical items that share common characteristics. Although these categories are not mutually exclusive, most related research is traditionally focused on classifying tracks into a single class. Furthermore, these categories (e.g., Pop, Rock) tend to be too broad for certain applications. In this work we aim to expand this task by categorizing musical items into m...

Current web technology has brought us a scenario that information about a certain topic is widely dispersed in data from different domains and data modalities, such as texts and images from news and social media. Automatic extraction of the most informative and important multimedia summary (e.g. a ranked list of inter-connected texts and images) from massive amounts of cross-media and cross-gen...