The purpose of this research is to investigate methods for applying speech recognition techniques to improve the productivity of off-line captioning for television. We posit that existing corpora for training continuous speech recognisers are unrepresentative of the acoustic conditions of television soundtracks. To evaluate the use of application specific models to this task we have developed a...

This paper discusses the results of the MIREX 2005 symbolic genre classification contest and describes the Bodhidharma system, which attained the highest classification success rates in all four of the evaluated categories. Five systems were submitted to this contest, which was conducted independently at the University of Illinois at Urbana-Champagne (UIUC). Each system was evaluated in two dif...

In this paper we argue that a combination of Actor-Network Theory (ANT) and Genre Theory can constitute a theoretical framework for understanding how digital genres evolve. Genre theory states that genres evolve over time through reciprocal interaction between institutionalized practices and individual action; that they develop from actors’ responses to recurrent situations, and are shaped ar...

This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports the learners with a system to share and reuse learning experience by linking movies and environmental objects. These movies are not only kind of classes’ experiments but also daily experiences movies. Therefore, you can share these movies with other people. LORAMS can infer some cont...

This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports the learners with a system to share and reuse learning experience by linking movies and environmental objects. These movies are not only kind of classes’ experiments but also daily experiences movies. Therefore, you can share these movies with other people. LORAMS can infer some cont...

This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the process of determining the type or family of a given document. For example, is the document a letter, a news story, a horoscope, a joke, or an advertisement. Genre identification allows a computer user to further filte...

In this paper we propose a method for the detection of dialogue scenes within movies. This task is of particular interest given the special semantic role played by dialogue based scenes in the most part of movies. The proposed approach firstly operates the segmentation of the video footage in shots, then each shot is classified as dialogue or not-dialogue by a Multi-Expert System (MES) and, fin...

Fluorescence time-lapse microscopy has become a powerful tool in the study of many biological processes at the single-cell level. In particular, movies depicting the temporal dependence of gene expression provide insight into the dynamics of its regulation; however, there are many technical challenges to obtaining and analyzing fluorescence movies of single cells. We describe here a simple prot...