Iliria International Review – 2013/1 © Felix–Verlag, Holzkirchen, Germany and Iliria College, Pristina, Kosovo Abstract Recently several studies have shown that word frequency estimation based on subtitle files explains better the variance in word recognition performance than traditional words frequency estimates did. The present study aims to show this frequency estimate in Albanian from more ...

The OCR-algorithm (optical character recognition) described in this paper is a module in the assistive device SubPal, which should be able to read subtitles from television and camera aloud. The SubPal system is described in detail in (Nielsen & Bothe, 2007). By sampling the television signal (PAL) a binary image is created. This binary image is analysed using the OCR-algorithm for generating t...

In this article, we propose a fully automatic system for generating comic books from videos without any human intervention. Given an input video along with its subtitles, our approach first extracts informative keyframes by analyzing the subtitles and stylizes into comic-style images. Then, novel multi-page layout framework that can allocate images across multiple pages synthesize visually inte...

BACKGROUND Word frequency is the most important variable in language research. However, despite the growing interest in the Chinese language, there are only a few sources of word frequency measures available to researchers, and the quality is less than what researchers in other languages are used to. METHODOLOGY Following recent work by New, Brysbaert, and colleagues in English, French and Du...

Repetition and reusability are two notions that lie at the heart of a number of current approaches to computer-aided translation (CAT) and machine translation (MT), but are rarely problematized in the literature. In this paper, we discuss these notions in the context of the example-based machine translation (EBMT) of movie subtitles in a project currently underway at Dublin City University. We ...

Ambient Intelligence is a new paradigm in which environments are sensitive and responsive to the presence of people. This is having an increasing importance in multimedia applications, which frequently rely on sensors to provide useful information to the user. In this context, multimedia applications must adapt and personalize both content and interfaces in order to reach acceptable levels of c...

The last ten years have been the witnesses of the emergence of any kind of video content. Moreover, the appearance of dedicated websites for this phenomenon has increased the importance the public gives to it. In the same time, certain individuals are deaf and occasionally cannot understand the meanings of such videos because there is not any text transcription available. Therefore, it is neces...

Until recently, studies on films from colonial Korea in the Japanese empire had to rely primarily on secondary texts, such as memoirs, journal and newspaper articles, and film reviews. The recent discovery of original film texts from archives in Japan, China, Russia, and elsewhere and their availability on DVD format, prompted an important turning point in the scholarship. However, juxtaposing ...

This thesis presents new methods in two closely related areas of computer vision: human pose estimation, and gesture recognition in videos. In human pose estimation, we show that random forests can be used to estimate human pose in monocular videos. To this end, we propose a co-segmentation algorithm for segmenting humans out of videos, and an evaluator that predicts whether the estimated poses...