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...

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...

This paper proposes shot genre classification from MPEG compressed movies, as one of the high-level indexing methods for audio-visual contents. Through statistical analysis of low-level and mid-level audio-visual features on compressed domain, the proposed method can achieve subjectively accurate shot classification within the movies into predefined genre set, which can be applied to various co...

This paper proposes a system that automatically locates and extracts songs from digitized movies and classifies the extracted songs according to their genre using a video-based genre identification algorithm. A song grammar particularly applicable to Bollywood movies has been proposed and used subsequently to construct a probabilistic timed automaton that differentiates songs from rest of the s...

We present a novel technique to characterize and index violent scenes in general TV drama and movies. Our goal is to identify violent signatures and localize violent events within a movie to support \high-level" video indexing. In particular, we exploit multiple \audiovisual" signatures to create a perceptual relation for conceptually meaningful violent scene identi cation. Potential applicatio...

A close observation of Iran-Iraq war films in the Iranian society reveals that their genres have shifted in the course of the society’s evolution. This questions the category-based principles of genre we have known so far in literature concerning film theory and necessitates a new conceptualization of genre, which can be realized with the aid of Niklas Luhmann’s social systems theory. This theo...

We investigate closed captions and discrete cosine transform coefficients individually as features for classifying movies by genre and learning user preferences. Using a support vector machine as the classifier, we find that these features work very well for classification by genre but the results are less satisfactory when learning user preferences.

Video files are large and usually take long time to view. Manual browsing and organizing a big collection of video files is tedious and impractical. The goal of this project is to develop an automatic method for video classification based on their genre,. Take movie as examples, the program will classify movies into action movies, comedy movies, tragedy movies, etc. In other words, our algorith...

Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. Typically, movie features are human-generated, either editorially (e.g., genre and cast) or by leveraging the wisdom of the crowd (e.g., tag), and as such, they are prone to...

Video genre classification is a challenging task in a global context of fast growing video collections available on the Internet. This paper presents a new method for video genre identification by audio analysis. Our approach relies on the combination of low and high level audio features. We investigate the discriminative capacity of features related to acoustic instability, speaker interactivi...