In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. From the low-level multimodal features, genre as high-level semantic meaning is detected by using GINI index in Classification And Regression Tree (CART) algorithm. Experimental results show that the proposed method is u...

A friend of mine in the UK Paddy Walsh has passed on to me your recent ruminations on “How genre theory saved the world”. I note that Paddy is a former subject English teacher and SNS English consultant, and familiar with work done using genre theory in the UK. As I was one of the genre theorists with whom you exchanged articles in English in Australia a good many years ago, I thought I might r...

The article under studies deals with the issue of comparative aspects genre. Particular emphasis has been placed on genre form (in sense a characteristic matrix/canon as complex specific factors), which functions in terms continuous literary process and, accordingly, adapts to its contextual changes, deviations, objections, innovations, correlations, needs receptive environment. author’s and re...

In the thesis, we analyze user interests based on a domain specific taxonomy. We propose modeling user interests and measuring similarity of users according to the taxonomy in the domain. Then we apply our method to recommender systems. We propose identifying topics, those that include new concepts that are likely be interesting to the user even though those concepts are not present in the user...

The need for more democratic models of interaction between scientists and non-expert audiences, the current commodification research advancements digital affordances have recently given rise to new online genres science dissemination, such as graphical abstract, increasingly demanded by high-impact journals despite its uncertain function. In this paper, I examine problems posed hybrid genre imp...

In “The Death of Genre: Why the Best YA fiction Often Defies Classification” (The ALAN Review, 35.1: 43-50), Scot Smith speaks of having to constantly reclassify and reshuffle texts as he and his students consider the books on the genre lists used in his classes. Knowing that “Young adult literature has a long tradition of authors whose works defy genre classification” (43), he mulls over the i...

We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

Any automatic music genre recognition (MGR) system must show its value in tests against a ground truth dataset. Recently, the public dataset most often used for this purpose has been proven problematic, because of mislabeling, duplications, and its relatively small size. Another dataset, the Million Song Dataset (MSD), a collection of features and metadata for one million tracks, unfortunately ...

Webpages are mainly distinguished by their topic (e.g., politics, sports etc.) and genre (e.g., blogs, homepages, e-shops, etc.). Automatic detection of webpage genre could considerably enhance the ability of modern search engines to focus on the requirements of the user’s information need. In this paper, we present an approach to webpage genre detection based on a fully-automated extraction of...

The concept of genre is as old as literary theory itself, but centuries of debate haven’t produced much consensus on the topic. Part of the reason is that genre looks like a different thing at different points in the life of a text. Scholars of rhetoric tend to focus on the patterns of communicative action that produce memoranda or tragedies (Devitt 2004; Miller 1984). Sociologists are sometime...