In our modern technological world, Computer-Assisted Language learning (CALL) is a new realm towards learning a language in general, and learning L2 vocabulary in particular. It is assumed that the use of multimedia annotations promotes language learners’ vocabulary acquisition. Therefore, this study set out to investigate the effects of different multimedia annotations (still picture annotatio...

This study explores the effect of online annotations via Interactive White Boards (IWBs) on reading comprehension of Iranian EFL learners. To this aim, 60 students from a language institute were selected as homogeneous based on their performance on Oxford Placement Test (2014).Then, they were randomly assigned to 3 experimental groups of 20, and subsequently exposed to the research treatment af...

Animations and videos are often designed to present information that involves change over time, in such a way as to aid understanding and facilitate learning. However, in many studies, static displays have been found to be just as beneficial and sometimes better. In this study, we investigated the impact of presenting together both a video recording and a series of static pictures. In experimen...

this study explores the effect of online annotations via interactive white boards (iwbs) on reading comprehension of iranian efl learners. to this aim, 60 students from a language institute were selected as homogeneous based on their performance on oxford placement test (2014).then, they were randomly assigned to 3 experimental groups of 20, and subsequently exposed to the research treatment af...

In this study, a comparison of static (illustration and text annotation) and dynamic (video with audio annotation) delivery of procedural instructions on a highly spatial task is made. Two groups completed three origami paper-folding tasks, after which they answered a preferences questionnaire and then were asked to re-do the first origami task from memory. The results indicated a general advan...

The population of a video database requires tools for manipulation and annotation of raw video data. Characteristic of this requirement is the need to satisfy many disparate video-based application domains. In this paper we describe the design and development of a video annotation engine called Vane, intended to address the issue of domain-independent video annotation. Rather than relying on a ...

SenseCam is a wearable digital camera that automatically takes pictures due to timers or sensorbased triggers. We propose using a compass sensor to trigger picture-taking, and detail our implementation of this idea as an add-on module for the SenseCam. We also describe a method for comparing triggering algorithms for SenseCam using a video recorder and video annotation software. We use this met...

This paper presents an original computational approach to extraction of movie tempo for deriving story sections and events that convey high level semantics of stories portrayed in motion pictures, thus enabling better video annotation and interpretation systems. This approach, inspired by the existing cinematic conventions known as film grammar, uses the attributes of motion and shot length to ...

CMOS video cameras with high dynamic range (HDR) output are particularly suitable for driving assistance applications, where lighting conditions can strongly vary, going from direct sunlight to dark areas in tunnels. However, common visualization devices can only handle a low dynamic range, and thus a dynamic range reduction is needed. Many algorithms have been proposed in the literature to red...

Previous work in video annotation and analysis has concentrated more on the process of annotation than analysis. The focus of our research instead is to provide support for video analysis by developing an environment for the “casual user” to query the video data using spatio-temporal characteristics and to review visual results for trend analysis. In this paper, we present our approach for iden...