scholarly journals WEB-BASED PERSONAL DIGITAL PHOTO COLLECTIONS: MULTIMODAL RETRIEVAL

2010 ◽  
Vol 10 (1) ◽  
pp. 49-57
Author(s):  
Nor Azman Ismail ◽  
Ann O'Brien

When personal photo collections get large retrieval of specific photos or sets of photos becomes difficult mainly due to the fairly primitive means by which they are organised. Commercial photo handling systems help but often have only elementary searching features. In this paper, we describe an interactive web-based photo retrieval system that enables personal digital photo users to accomplish photo browsing by using multimodal interaction. This system not only enables users to use mouse click input modalities but also speech input modality to browse their personal digital photos in the World Wide Web (WWW) environment. The prototype system and it architecture utilise web technology which was built using web programming scripting (JavaScript, XHTML, ASP, XML based mark-up language) and image database in order to achieve its objective. All prototype programs and data files including the user’s photo repository, profiles, dialogues, grammars, prompt, and retrieval engine are stored and located in the web server. Our approach also consists of human-computer speech dialogue based on photo browsing of image content by four main categories (Who? What? When? and Where?). Our user study with 20 digital photo users showed that the participants reacted positively to their experience with the system interactions.

Author(s):  
Eugene Borovikov ◽  
Szilárd Vajda ◽  
Girish Lingappa ◽  
Michael C Bonifant

Modern digital photo collections contain vast multitudes of high-resolution color images, many containing faces, which are desirable to retrieve visually. This poses a problem for effective image browsing and calls for efficient Content Based Image Retrieval (CBIR) capabilities ensuring near-instantaneous visual query turn-around. This in turn necessitates parallelization of many existing image processing and information retrieval algorithms that can no longer satisfy the modern user demands, when executed sequentially. Hence a practical approach to Face Image Retrieval (FIR) is presented. It utilizes multi-core processing architectures to implement its major modules (e.g. face detection and matching) efficiently without sacrificing the image retrieval accuracy. The integration of FIR into a web-based family reunification system demonstrates the practicality of the proposed method. Several accuracy and speed evaluations on real-word data are presented and possible CBIR extensions are discussed.


Author(s):  
Mohamad Zairi Baharom ◽  
◽  
Frank Delbressine ◽  
Loe Feijs ◽  
Marina Toeters

Being independent to dress or undress is important for everybody. However, (un)zipping to (un)dress is a task that is difficult for elders, especially when the zipper is in a hard-to-reach location. This paper presents the invention of Cliff: an automatized zipper and a user study performed to evaluate the wearability and how useful it is to the elderly. Results of the user study show that the elderly rated Cliff as wearable, useful, and makes the zipping and unzipping task much easier for them. This prototype system and the feedback received from the elderly contribute to the design of fashionable automated assistive technologies.


2021 ◽  
Author(s):  
Neal R Haddaway ◽  
Matthew J Page ◽  
Christopher C Pritchard ◽  
Luke A McGuinness

Background Reporting standards, such as PRISMA aim to ensure that the methods and results of systematic reviews are described in sufficient detail to allow full transparency. Flow diagrams in evidence syntheses allow the reader to rapidly understand the core procedures used in a review and examine the attrition of irrelevant records throughout the review process. Recent research suggests that use of flow diagrams in systematic reviews is poor and of low quality and called for standardised templates to facilitate better reporting in flow diagrams. The increasing options for interactivity provided by the Internet gives us an opportunity to support easy-to-use evidence synthesis tools, and here we report on the development of tools for the production of PRISMA 2020-compliant systematic review flow diagrams. Methods and Findings We developed a free-to-use, Open Source R package and web-based Shiny app to allow users to design PRISMA flow diagrams for their own systematic reviews. Our tools allow users to produce standardised visualisations that transparently document the methods and results of a systematic review process in a variety of formats. In addition, we provide the opportunity to produce interactive, web-based flow diagrams (exported as HTML files), that allow readers to click on boxes of the diagram and navigate to further details on methods, results or data files. We provide an interactive example here; https://driscoll.ntu.ac.uk/prisma/. Conclusions We have developed a user-friendly suite of tools for producing PRISMA 2020-compliant flow diagrams for users with coding experience and, importantly, for users without prior experience in coding by making use of Shiny. These free-to-use tools will make it easier to produce clear and PRISMA 2020-compliant systematic review flow diagrams. Significantly, users can also produce interactive flow diagrams for the first time, allowing readers of their reviews to smoothly and swiftly explore and navigate to further details of the methods and results of a review. We believe these tools will increase use of PRISMA flow diagrams, improve the compliance and quality of flow diagrams, and facilitate strong science communication of the methods and results of systematic reviews by making use of interactivity. We encourage the systematic review community to make use of these tools, and provide feedback to streamline and improve their usability and efficiency.


2018 ◽  
pp. 735-753
Author(s):  
Eugene Borovikov ◽  
Szilard Vajda ◽  
Michael Gill

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.


Author(s):  
Patrick S.W. Fong ◽  
Ka-chi Wong

Knowledge is regarded as the most important asset for sustainable success in today’s knowledge-based economy, and it has become the main competitive tool for many businesses. Proper capture and reuse of knowledge reduces the risk of “reinventing the wheel.” Building surveyors play a major role in building maintenance. Owing to the unique nature of building maintenance, building surveyors need sufficient knowledge and experience to facilitate their decision-making process. Apart from gaining this knowledge and experience by direct participation, learning from others is a sound alternative. However, insufficiencies have been found in the current practice on this aspect, and thus the aim of this chapter is to study whether a proposed Web-based prototype knowledge management system would be a feasible solution for capturing and reusing knowledge and experience in building maintenance. A questionnaire survey was conducted in this research to study the opinions of professional building surveyors on the capture and reuse of knowledge and experience in building maintenance, as well as the requirements of a proposed Web-based prototype system.


Author(s):  
Bonnie Wai-yi Cheuk ◽  
Brenda Dervin

This chapter introduces readers to Dervin’s Sense-Making Methodology (SMM) and demonstrates how it has been applied to design knowledge management projects for the public sector. The projects described in this chapter were implemented between November 2005 to June 2006 when the main author was the Head of Knowledge Management for the Improvement Service for the Scottish Government, a company limited by guarantee with a budget provided by the Scottish Executive, with the aim to improve the efficiency, quality and accountability of public services in Scotland through learning, sharing knowledge and delivering improvement solutions. Sense-Making Methodology is based on a set of assumptions which challenge some fundamental knowledge management thinking. The SMM assumptions imply the need for alternative procedures to be implemented to promote knowledge sharing. Three primary applications are discussed: (a) conducting user study to understand user needs; (b) designing web-based KM systems; and (c) facilitating dialogue to nurture communities of practice. This chapter aims at stimulating further thinking and debate in adopting theoretically informed approaches to implement knowledge management practices.


2011 ◽  
pp. 168-191 ◽  
Author(s):  
Sajjad Zahir ◽  
Brian Dobing

A detailed model for designing a Web-based Multi-Criteria Group Support System (MCGSS) is presented. The model is based on the Analytic Hierarchy Process (AHP) and uses the intensity of preferences of group members rather than simple voting procedures. This approach offers several advantages over simple voting mechanisms, including a much richer picture of both individual and group positions and more equitable decision-making. A prototype system, with a user-friendly graphical user interface (GUI), has been developed and used to analyze an experimental group decision process over the Internet. This permits a wider range of users, including those with limited typing skills, asynchronous communication across many time zones, and a larger number of participants than conventional systems. An agenda for further research is outlined.


Sign in / Sign up

Export Citation Format

Share Document