This paper describes our participation in Genre Tagging Task @ MediaEval 2011, which aims at predicting the Genre of Internet videos. We propose a method that extracts low dimensional feature space based on text, audio and video information. In the best configuration, our system yields a 0.56 MAP (Mean Average Precision) on the test corpus.

Introduction Music genres allow the categorization of music into broad groups of related songs for use in applications such as song recommender systems based on genre. Many existing songs are unlabeled, and new songs are constantly being released. While hand-labeling them all would be too tedious, classifying them by genre can fit them into categories for use in recommendation. Also, even if th...

This paper demonstrates how association rule mining can be applied to discover relations between two ontologies of folk music: a genre and a region ontology. Genre– region associations have been widely studied in folk music research but have been neglected in music information retrieval. We present a method of association rule mining with constraints consisting of rule templates and rule evalua...

This paper describes an approach for investigating the representation of events and their distribution in a corpus. We collect and analyze statistics about subject-verb-object triplets and their content, which helps us compare corpora belonging to the same domain but to different genre/text type. We argue that event structure is strongly related to the genre of the corpus, and propose statistic...

Received: 27 May 2005 Revised: 16 December 2005 Accepted: 3 January 2006 Abstract The concept of genre represents a meaningful pattern of communication, which has been applied in the information systems field. Genres are socially constructed: they may consequently be socially more or less acceptable or contested. This paper focuses on the concept of communicative genre and addresses the issue o...

People who search the World Wide Web often have a multifaceted understanding of their information need: they know what they are searching for, and they know of which form or type the desired documents should be. The former aspect relates to the content of a desired document (= topic), the latter to the presentation of its content and the intended target group. Due to the different user groups a...

Classification of music genre has been an inspiring job in the area of music information retrieval (MIR). Classification of genre can be valuable to explain some actual interesting problems such as creating song references, finding related songs, finding societies who will like that specific song. The purpose of our research is to find best machine learning algorithm that predict the genre of s...