Visualization of Accessible Multimedia Content in Web Pages

Multimedia content still presented on the web sites. The visualization of multimedia content by the users with disabilities, those that usually use screen readers, is extremely difficult. With the onset of the audio sequence of multimedia presentation it is difficult for users with visual impairs to listen the audio component of presentation and the audio version of the screen readers too, because the two audio streams cannot be controlled using only one volume control. Therefore, because of the difficulties to control the available audio streams and because of the difficulties to access the control buttons by people with disabilities, the multimedia content is often inaccessible for users with visual problems. More than this, the use of dynamic users’ interfaces is a critical problem because the screen-readers cannot detect the dynamics in content changes. The current paper presents some solutions for multimedia content production and distribution in distributed multimedia web presentations.Accessible multimedia content, Synchronized Accessible Media Interchange

Visualization of Accessible Multimedia Content in Web Pages

Multimedia content still presented on the web sites. The visualization of multimedia content by the users with disabilities, those that usually use screen readers, is extremely difficult. With the onset of the audio sequence of multimedia presentation it is difficult for users with visual impairs to listen the audio component of presentation and the audio version of the screen readers too, because the two audio streams cannot be controlled using only one volume control. Therefore, because of the difficulties to control the available audio streams and because of the difficulties to access the control buttons by people with disabilities, the multimedia content is often inaccessible for users with visual problems. More than this, the use of dynamic users’ interfaces is a critical problem because the screen-readers cannot detect the dynamics in content changes. The current paper presents some solutions for multimedia content production and distribution in distributed multimedia web presentations

Reviews

Judith Jeffcoate, Multimedia in Practice ‐Technology and Applications, BCS Practitioner Series, Prentice‐Hall International, 1995. ISBN: 0–13–123324–6. £24.95

The contribution of data mining to information science

The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge. In the past several years, data mining has made a significant contribution to the field of information science. This paper examines the impact of data mining by reviewing existing applications, including personalized environments, electronic commerce, and search engines. For these three types of application, how data mining can enhance their functions is discussed. The reader of this paper is expected to get an overview of the state of the art research associated with these applications. Furthermore, we identify the limitations of current work and raise several directions for future research

Democratic Replay: Enhancing TV Election Debates with Interactive Visualisations

This paper presents an online platform for enhancing televised election debates with interactive visualisations. Election debates are one of the highlights of election campaigns worldwide. They are also often criticised as appearing scripted, rehearsed, detached from much of the electorate, and at times too complex. Democratic Replay enhances videos of election debates with a collection of interactive tools aimed at providing a replay experience centred around citizens' needs. We present the system requirements, design and implementation, and report on an evaluation based on the ITV Leaders' Debate from the 2015 UK General Election campaign

Accessibility-based reranking in multimedia search engines

Traditional multimedia search engines retrieve results based mostly on the query submitted by the user, or using a log of previous searches to provide personalized results, while not considering the accessibility of the results for users with vision or other types of impairments. In this paper, a novel approach is presented which incorporates the accessibility of images for users with various vision impairments, such as color blindness, cataract and glaucoma, in order to rerank the results of an image search engine. The accessibility of individual images is measured through the use of vision simulation filters. Multi-objective optimization techniques utilizing the image accessibility scores are used to handle users with multiple vision impairments, while the impairment profile of a specific user is used to select one from the Pareto-optimal solutions. The proposed approach has been tested with two image datasets, using both simulated and real impaired users, and the results verify its applicability. Although the proposed method has been used for vision accessibility-based reranking, it can also be extended for other types of personalization context

Finding Person Relations in Image Data of the Internet Archive

The multimedia content in the World Wide Web is rapidly growing and contains valuable information for many applications in different domains. For this reason, the Internet Archive initiative has been gathering billions of time-versioned web pages since the mid-nineties. However, the huge amount of data is rarely labeled with appropriate metadata and automatic approaches are required to enable semantic search. Normally, the textual content of the Internet Archive is used to extract entities and their possible relations across domains such as politics and entertainment, whereas image and video content is usually neglected. In this paper, we introduce a system for person recognition in image content of web news stored in the Internet Archive. Thus, the system complements entity recognition in text and allows researchers and analysts to track media coverage and relations of persons more precisely. Based on a deep learning face recognition approach, we suggest a system that automatically detects persons of interest and gathers sample material, which is subsequently used to identify them in the image data of the Internet Archive. We evaluate the performance of the face recognition system on an appropriate standard benchmark dataset and demonstrate the feasibility of the approach with two use cases

A Novel Application: Using Mobile Technology to Connect Physical and Virtual Reference Collections

This chapter describes an innovative implementation of the use of iPad kiosks to blur the lines between physical and virtual library collections. Providence College’s Phillips Memorial Library + Commons began lending iPads to students, faculty, and staff in 2012. In addition to lending the devices, library staff dedicated time to learning about both task-based and subject-based mobile applications that would be of use to our community. A small group of library staff tested, discussed, and vetted a variety of apps that would be deployed on the iPads to be lent out. Efforts were made to promote the use and discovery of various apps on the devices through thoughtful organization of the apps on the devices themselves, programming around applications, and the creation of an online research guide designed to teach more about the apps. Despite these initiatives, assessment data from the iPad lending program collected over the course of five semesters suggests that patrons borrowing the iPads are using them primarily for accessing the Internet (Safari, Chrome, etc.), social media (Facebook, Twitter, etc.), and consuming media (YouTube, Netflix, Pandora, Spotify, etc.). With this data in mind, library staff began to think of alternative ways to connect our patrons with useful, content-based, mobile applications. Drawing on research around the Internet of Things and the integration of digital technologies with our physical lives, the Digital Publishing Services Coordinator suggested positioning iPad kiosks strategically within the library’s physical book collection as a means to connect patrons browsing a given area of the stacks with the library’s online resources related to that subject area. The library’s Commons Technology Specialist had experience with iPad kiosks and programming the iPads as he had managed the logistics of the iPad lending program since its inception. Working collaboratively, these colleagues devised a way to image the iPads for public use and load them with subject-specific apps as well as links to library databases and open web resources. The team chose to use Scalar as the primary content management tool for kiosk content. This chapter provides details about the selection and deployment of content for the Theology Kiosk, signage and communications created to attract patrons to the kiosk, and initial data about kiosk use. The piece concludes with a review of the kiosk project and an outline of future planning related to the project (staff time, hardware and software requirements, usability testing, scaling the project, etc.)