Improvements in hardware, communication technology and database have led to the explosion of multimedia information repositories. In order to provide the quality of information retrieval and the quality of services, it is necessary to consider both retrieval techniques and database architecture. This paper presents the project named VLSHDS-Very Large Scale Hypermedia Delivery System. The qualit...

This paper studies the problem of image annotation in a multi-modal setting where both visual and textual information are available. We propose Multimodal Multi-instance Multi-label Latent Dirichlet Allocation (M3LDA), where the model consists of a visual-label part, a textual-label part and a labeltopic part. The basic idea is that the topic decided by the visual information and the topic deci...

A spatio-textual sear h engine, termed \STEWARD" is demonstrated where do ument similarity is based on both the textual similarity as well as the spatial proximity of the lo ations in the do ument to the spatial sear h input. STEWARD's performan e is enhan ed by the presen e of a do ument tagger that is able to identify textual referen es to geographi al entities. The userinterfa e of STEWARD p...

In this paper, we propose a novel full-reference objective quality assessment metric of screen content images by structure information. The input screen content image is first divided into textual and pictorial regions. The visual quality of textual regions is predicted based on perceptual structural similarity, where the gradient information is used as the feature. To estimate the visual quali...

This study examines the effect of textual enhancement on learners’ attention to and learning multiword units from captioned audiovisual input. We adopted a within-participants design in which 28 learners English as foreign language (EFL) watched video containing enhanced (underlined) unenhanced units. Using eye-tracking, we measured online processing they appeared captions. Form recall pre- pos...

Research indicates that guided feedback facilitates learning, whether in the classroom or with Intelligent Tutoring Systems (ITS). Improving the accuracy of the evaluation of user input is therefore necessary for providing optimal feedback. This study investigated an automated assessment of students’ input that involved a lexico-syntactic (entailment) approach to textual analysis along with a v...

The purpose of the present study was to determine whether noticing through input enhancement had any impact on the acquisition of English conditional sentences in Iranian EFL learners. Two intact classes with 26 female students in each were chosen. A proficiency test administered at the commencement of the study showed that the two groups were homogeneous in terms of their language proficiency....