Digital Image Access & Retrieval

The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Impact of Digital Technology on Library Resource Sharing: Revisiting LABELNET in the Digital Age

The digital environment has facilitated resource sharing by breaking the time and distance barriers to efficient document delivery. However, for the librarians, this phenomenon has brought more challenging technical and technological issues demanding addition of more knowledge and skills to learn and new standards to develop. The overwhelming speed and growing volume of digital information is now becoming unable to acquire and manage by single libraries. Resource sharing, which used to be a side business in the librarianship trade, is now becoming the flagship operation in the library projects

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

Development and application of computer software techniques to human factors task data handling problems Final report, 21 Jun. 1965 - 21 Jun. 1966

Computer software techniques applied to human factors task data handling problem

Reimagining the SSMinT Software Package

We examine two proposed indexing algorithms taking advantage of the new SSMinT libraries. The two algorithms primarily differ in their selection of documents for learning. The batch indexing method selects some random number of documents for learning. The iterative indexing method uses a single randomly selected document to discover semantic signatures, which are then used to find additional related documents. The batch indexing method discovers one to three semantic signatures per document, resulting in poor clustering performance as evaluated by human cross-validation of clusters using the Adjusted Rand Index. The iterative indexing method discovers more semantic signatures per document, resulting in far better clustering performance using the same cross-validation method.;Our new tools enable faster development of new experiments, forensic applications, and more. The experiments show that SSMinT can provide effective indexing for text data such as e-mail or web pages. We conclude with areas of future research which may benefit from utilizing SSMinT. (Abstract shortened by ProQuest.)