This paper presents a study on classifying music by affective visual information extracted from music videos. The proposed audio-visual approach analyzes genre specific utilization of color. A comprehensive set of color specific image processing features used for affect and emotion recognition derived from psychological experiments or art-theory is evaluated in the visual and multi-modal domain...

Stylometric and text categorization results show that author gender can be discerned in texts with relatively high accuracy. However, it is difficult to explain what gives rise to these results and there are many possible confounding factors, such as the domain, genre, and target audience of a text. More fundamentally, such classification efforts risk invoking stereotyping and essentialism. We ...

Since its introduction to EAP theory in the 1980s, the concept of genre has proven to be a rigorous theoretical construct for a deeperunderstanding of the nature of academic discourse. However, the inherent potential of this concept as a means of classifying and categorizing academic texts has also given rise to what we have called “the misconception of homogeneity”. Criticizing this misconcept...

In this paper we describe in detail the recent publications related to video-genre-classification and present our improved approaches for classifying video sequences in real-time as ‘cartoon’, ‘commercial’, ‘music’, ‘news’ or ‘sport’ by analyzing the content with high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7 [...

The present study investigated the effect of single and multiple genre movies on listening comprehension of upper intermediate language learners. To this end, a language proficiency test was administered to 40 male and female postgraduates of different majors attending International English Language Testing System (IELTS) classes and ultimately 25 upper intermediate language learners were selec...