NDLI: Evaluating a workspace’s usefulness for image retrieval

Content Provider	Springer Nature Link
Author	Urban, Jana Jose, Joemon M.
Copyright Year	2006
Abstract	Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results on a workspace. The workspace’s usefulness is evaluated in a task-oriented and user-centred comparative experiment, involving design professionals and several types of realistic search tasks. In particular, we focus on its effect on task conceptualisation and query formulation. A traditional relevance feedback system serves as a baseline. The results of this study show that the workspace is more useful in terms of both of the above aspects and that the proposed approach leads to a more effective and enjoyable search experience. This paper also highlights the influence of tasks on the users’ search and organisation strategy.
Starting Page	355
Ending Page	373
Page Count	19
File Format	PDF
ISSN	09424962
Journal	Multimedia Systems
Volume Number	12
Issue Number	4-5
e-ISSN	14321882
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-09-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	User evaluation Image retrieval Relevance feedback Workspace Recommendation system Computer Graphics Data Encryption Data Storage Representation Operating Systems Computer Communication Networks Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Media Technology Hardware and Architecture Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Miniature illustrations retrieval and innovative interaction for digital illuminated manuscripts

Improved AdaBoost-based image retrieval with relevance feedback via paired feature learning

Collaborative image retrieval via regularized metric learning

Tag relevance fusion for social image retrieval

Relevance feedback based saliency adaptation in CBIR

Semantic interactive image retrieval combining visual and conceptual content description

Modeling user context with applications to media retrieval

FAST: Toward more effective and efficient image retrieval

Semantic user profiling techniques for personalised multimedia recommendation

Evaluating a workspace’s usefulness for image retrieval

Similar Documents

Miniature illustrations retrieval and innovative interaction for digital illuminated manuscripts

Improved AdaBoost-based image retrieval with relevance feedback via paired feature learning

Collaborative image retrieval via regularized metric learning

Tag relevance fusion for social image retrieval

Relevance feedback based saliency adaptation in CBIR

Semantic interactive image retrieval combining visual and conceptual content description

Modeling user context with applications to media retrieval

FAST: Toward more effective and efficient image retrieval

Semantic user profiling techniques for personalised multimedia recommendation

Evaluating a workspace’s usefulness for image retrieval