Movie Description

Audio Description (AD) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design mainly visual and thus naturally form an interesting data source for computer vision and computational linguistics. In this work we propose a novel dataset which contains transcribed ADs, which are temporally aligned to full length movies. In addition we also collected and aligned movie scripts used in prior work and compare the two sources of descriptions. In total the Large Scale Movie Description Challenge (LSMDC) contains a parallel corpus of 118,114 sentences and video clips from 202 movies. First we characterize the dataset by benchmarking different approaches for generating video descriptions. Comparing ADs to scripts, we find that ADs are indeed more visual and describe precisely what is shown rather than what should happen according to the scripts created prior to movie production. Furthermore, we present and compare the results of several teams who participated in a challenge organized in the context of the workshop "Describing and Understanding Video & The Large Scale Movie Description Challenge (LSMDC)", at ICCV 2015

Factors that contribute to obesity problem among UTHM catering student

Negative perception by the society and the hospitality industry toward the disabled people is very high and it has to be changed and this parties should be given opportunity to work in this industry. Rosli, et al (2011) states the acceptance in the small and medium industries towards the disabled is at moderate level. However, in 2005, Ministry of Higher Education Malaysia (KPTM) has initiated Polytechnic Ibrahim Sultan, Johor Bahru conduct a pioneer program to produce graduates with disabilities (OKU) with hearing impairments for a career in the hotel industry. Related to the situation, some lecturers were sent to attend sign language courses for the preparation for the program, some facilities were updated to fit their needs. To this present Polytechnic Ibrahim Sultan, Johor Bahru has produced hundreds of OKU graduates. It is hope that the graduates produced from this program could reduce the number of foreign worker working in the industry. Dependence on foreign workers should be reduced because there are almost 2.6 million people with special needs in Malaysia. Some of them have been able to pursue their studies to diploma and Bachelor degrees. Through the development of education they are participated in, it is hoped that they will also contribute to the country's economy. The Government of Malaysia is in the effort to transform employers' perceptions towards this group to be more positive. Thus, several initiatives or benefits had been made by the Government of Malaysia to attract more government link companies (GLC) and private firms to hire people from this group. However there are also some challenges and obstacles faced by the industry in accepting these graduates at their company. Taheing (1996) states that in its study it has been able to identify problems that limit the employment of disabled persons including physiological factors, disability due to defects, occupational types, gender factors, workplace environment, personality, illness and other disabilities. This is a challenge and obstacle faced by the employer in hiring the disabled graduates in their industry. Therefore, the industry is highly concerned with the selection of highly capable employees in helping to increase profits to the company

mSpace: What do Numbers and Totals Mean in a Flexible Semantic Browser

With the Semantic Web community’s growing interest in Human Computer Interaction, this paper addresses a challenge for user interface design and future shifts in search paradigms. Where browsers using current search paradigms often use numeric values to indicate volumes of sub-hierarchies, future semantic browsers will not be limited to fixed hierarchical datasets, but allow flexible exploration through multiple intersecting domains. With the future use of similar numeric indicators uncertain, research here suggests that the inclusion of such indicators should be based around focal data objects within each information domain. Further research is required, as a significant number of contradicting participant expectations were present. It is the concern of the Semantic Web community to make sure that future btic search paradigms can best support their users

Exploring scholarly data with Rexplore.

Despite the large number and variety of tools and services available today for exploring scholarly data, current support is still very limited in the context of sensemaking tasks, which go beyond standard search and ranking of authors and publications, and focus instead on i) understanding the dynamics of research areas, ii) relating authors ‘semantically’ (e.g., in terms of common interests or shared academic trajectories), or iii) performing fine-grained academic expert search along multiple dimensions. To address this gap we have developed a novel tool, Rexplore, which integrates statistical analysis, semantic technologies, and visual analytics to provide effective support for exploring and making sense of scholarly data. Here, we describe the main innovative elements of the tool and we present the results from a task-centric empirical evaluation, which shows that Rexplore is highly effective at providing support for the aforementioned sensemaking tasks. In addition, these results are robust both with respect to the background of the users (i.e., expert analysts vs. ‘ordinary’ users) and also with respect to whether the tasks are selected by the evaluators or proposed by the users themselves

A visual exploration workflow as enabler for the exploitation of Linked Open Data

Abstract. Semantically annotating and interlinking Open Data results in Linked Open Data which concisely and unambiguously describes a knowledge domain. However, the uptake of the Linked Data depends on its usefulness to non-Semantic Web experts. Failing to support data consumers to understand the added-value of Linked Data and possible exploitation opportunities could inhibit its diffusion. In this paper, we propose an interactive visual workflow for discovering and ex-ploring Linked Open Data. We implemented the workflow considering academic library metadata and carried out a qualitative evaluation. We assessed the work-flow’s potential impact on data consumers which bridges the offer: published Linked Open Data; and the demand as requests for: (i) higher quality data; and (ii) more applications that re-use data. More than 70 % of the 34 test users agreed that the workflow fulfills its goal: it facilitates non-Semantic Web experts to un-derstand the potential of Linked Open Data.