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In recent years, OpenGLAM and the broader open license movement have been gaining momentum in the cultural heritage sector. The purpose of this paper is to examine OpenGLAM from the perspective of end users, identifying barriers for commercial and non-commercial reuse of openly licensed art images.

Following a review of the literature, the authors scope out how end users can discover institutions participating in OpenGLAM, and use case studies to examine the process they must follow to find, obtain and reuse openly licensed images from three art museums.

Academic literature has so far focussed on examining the risks and benefits of participation from an institutional perspective, with little done to assess OpenGLAM from the end users’ standpoint. The authors reveal that end users have to overcome a series of barriers to find, obtain and reuse open images. The three main barriers relate to image quality, image tracking and the difficulty of distinguishing open images from those that are bound by copyright.

This study focusses solely on the examination of art museums and galleries. Libraries, archives and also other types of OpenGLAM museums (e.g. archaeological) stretch beyond the scope of this paper.

The authors identify practical barriers of commercial and non-commercial reuse of open images, outlining areas of improvement for participant institutions.

The authors contribute to the understudied field of research examining OpenGLAM from the end users’ perspective, outlining recommendations for end users, as well as for museums and galleries.

This paper aims to provide image repository to the medical professional in an open source platform, which will increase the visibility of Digital Imaging and Communication in Medicine (DICOM) image in a network mode; further, the proposed system will reduce the storage cost of the images to significant level.

The authors have developed a new institutional repository model for the medical professionals cum radiologists to preserve, store and retrieve medical images from one database with the help of open source software. The authors used JavaScript programming to integrate and develop the DICOM Standard with DSpace.

Major outcome of this work is that DICOM images can be accommodated in DSpace without modifying the image properties and keeping intact the various dimensions of image viewing options. Further, it was found that the images are retrieved without any ease because of the robust indexing system.

Major limitation of this study was the size of the data (5000 DICOM image) with which the authors have tested the system. The scalability of the system has to be tested on various fronts, for which separate study has to be done.

Once this system is in place, DICOM user can store, retrieve and access the image from Web platform. This proposed repository will be the storehouse of various DICOM images with reasonable storage costs.

In addition to exploring the opportunities of open source software (OSS) implementation in Medical Fields, this study includes issues related to implementation of open source repository for storing and preserving medical image. This is the first time in Library Science field to create and develop Open Source DICOM Medical Image Library with the help of DSpace. The study will create value for library professionals as well as medical professionals and OSS vendors to understand the medical market in the context of OSS.

The purpose of this paper is to situate the activity of digitisation to increase access to cultural and heritage content alongside the objectives of the Open Access Movement (OAM). It demonstrates that increasingly open licensing of digital cultural heritage content is creating opportunities for researchers in the arts and humanities for both access to and analysis of cultural heritage materials.

The paper is primarily a literature and scoping review of the current digitisation licensing climate, using and embedding examples from ongoing research projects and recent writings on Open Access (OA) and digitisation to highlight both opportunities and barriers to the creation and use of digital heritage content from galleries, libraries, archives and museums (GLAM).

The digital information environment in which digitised content is created and delivered has changed phenomenally, allowing the sharing and reuse of digital data and encouraging new advances in research across the sector, although issues of licensing persist. There remain further opportunities for understanding how to: study use and users of openly available cultural and heritage content; disseminate and encourage the uptake of open cultural data; persuade other institutions to contribute their data into the commons in an open and accessible manner; build aggregation and search facilities to link across information sources to allow resource discovery; and how best to use high-performance computing facilities to analyse and process the large amounts of data the author is now seeing being made available throughout the sector.

It is hoped that by pulling together this discussion, the benefits to making material openly available have been made clear, encouraging others in the GLAM sector to consider making their collections openly available for reuse and repurposing.

This paper will encourage others in the GLAM sector to consider licensing their collections in an open and reusable fashion. By spelling out the range of opportunities for researchers in using open cultural and heritage materials it makes a contribution to the discussion in this area.

Increasing the quantity of high-quality OA resources in the cultural heritage sector will lead to a richer research environment which will increase the understanding of history, culture and society.

This paper has pulled together, for the first time, an overview of the current state of affairs of digitisation in the cultural and heritage sector seen through the context of the OAM. It has highlighted opportunities for researchers in the arts, humanities and social and historical sciences in the embedding of open cultural data into both their research and teaching, whilst scoping the wave of cultural heritage content which is being created from institutional repositories which are now available for research and use. As such, it is a position paper that encourages the open data agenda within the cultural and heritage sector, showing the potentials that exists for the study of culture and society when data are made open.

This paper aims to present a novel DSpace-based medical image repository system planned explicitly for storing and retrieving clinical images using digital imaging and communication in medicine (DICOM) metadata standards. DSpace institutional repository software is widely used in an academic environment for accessing and mainly storing text-related files. DICOM images are particular types of images embedded with much system-generated metadata and organised using DICOM metadata standards.

The present paper talks about institutional repository software (DSpace) in archiving DICOM images. In the current study, the authors have tried to integrate the DICOM metadata standard with DSpace, which was compatible with Dublin Core (DC) and open archives initiative – protocol for metadata harvesting (OAI-PMH). After combining the DICOM standard with DSpace and the repository tested with a sample of 5,000 images, the retrieval results using various DICOM tags was very satisfactory. This study paves for the use of open source software (OSS) in storing and retrieving medical images.

The author has provided the DSpace software to recognised DICOM (.dcm) files in the first stage. In the second stage, a patch was developed to identify the DICOM metadata standard in Dspace, which has inbuilt DC metadata standards. Finally, in the third stage, retrieval efficiency was tested with a 5,000 .dcm image using the DICOM tag and the results were very fruitful.

A major limitation of this study was the size of the data (5,000 DICOM images) with which the authors have tested the system. The system scalability has to be tested on various fronts like on cloud and local servers with different configurations, for which a separate study has to be done.

Once this system is in place, DICOM users can stock, retrieve and access the image from the Web platform. Furthermore, this proposed repository will be the warehouse of various DICOM images with reasonable storage costs.

In addition to exploring the opportunities of free open source software (FOSS) implementation in medical science, this study includes issues related to the performance of an open-source repository for retrieving and preserving medical images. It created and developed Open Source DICOM Medical Image Library with DICOM metadata standard with the help of DSpace. Thus, the study will generate value for library professionals and medical professionals and FOSS vendors to understand the medical market in the context of FOSS.

To provide an overview of the construction and features of an art image database for high‐resolution images.

A description of technical information, standards and tools used for creating an art image database using open‐source software products ZOPE, PLONE, and DIGILIB.

Provides information about the considerations for and implementation of the digitalisation process and the set‐up of the information infrastructure. Recognises that the effort for the digitalisation project was higher than estimated.

The focus is on specific issues of art image databases and the application of open‐source software products.

A source of information for applied standards and software as well as digitalisation processes.

The paper presents practical information for institutions planning to set up an image database.

This paper aims to introduce a novel method for the analysis of open cell porous components fabricated by laser-based powder bed metal additive manufacturing (AM) for the purpose of quality control. This method uses photogrammetric analysis, the extraction of geometric information from an image through the use of algorithms. By applying this technique to porous AM components, a rapid, low-cost inspection of geometric properties such as material thickness and pore size is achieved. Such measurements take on greater importance, as the production of porous additive manufactured orthopaedic devices increases in number, causing other, slower and more expensive methods of analysis to become impractical.

Here the development of the photogrammetric method is discussed and compared to standard techniques including scanning electron microscopy, micro computed tomography scanning and the recently developed focus variation (FV) imaging. The system is also validated against test graticules and simple wire geometries of known size, prior to the more complex orthopaedic structures.

The photogrammetric method shows an ability to analyse the variability in build fidelity of AM porous structures for use in inspection purposes to compare component properties. While measured values for material thickness and pore size differed from those of other techniques, the new photogrammetric technique demonstrated a low deviation when repeating measurements, and was able to analyse components at a much faster rate and lower cost than the competing systems, with less requirement for specific expertise or training.

The advantages demonstrated by the image-based technique described indicate the system to be suitable for implementation as a means of in-line process control for quality and inspection applications, particularly for high-volume production where existing methods would be impractical.

The purpose of this paper is to build a classification system which mimics the perceptual ability of human vision, in gathering knowledge about the structure, content and the surrounding environment of a real-world natural scene, at a quick glance accurately. This paper proposes a set of novel features to determine the gist of a given scene based on dominant color, dominant direction, openness and roughness features.

The classification system is designed at two different levels. At the first level, a set of low level features are extracted for each semantic feature. At the second level the extracted features are subjected to the process of feature evaluation, based on inter-class and intra-class distances. The most discriminating features are retained and used for training the support vector machine (SVM) classifier for two different data sets.

Accuracy of the proposed system has been evaluated on two data sets: the well-known Oliva-Torralba data set and the customized image data set comprising of high-resolution images of natural landscapes. The experimentation on these two data sets with the proposed novel feature set and SVM classifier has provided 92.68 percent average classification accuracy, using ten-fold cross validation approach. The set of proposed features efficiently represent visual information and are therefore capable of narrowing the semantic gap between low-level image representation and high-level human perception.

The method presented in this paper represents a new approach for extracting low-level features of reduced dimensionality that is able to model human perception for the task of scene classification. The methods of mapping primitive features to high-level features are intuitive to the user and are capable of reducing the semantic gap. The proposed feature evaluation technique is general and can be applied across any domain.

This paper aims to introduce the construction methods, image organization, collection use and access of benchmark image collections to the digital library (DL) community. It aims to connect two distinct communities: the DL community and image processing researchers so that future image collections could be better constructed, organized and managed for both human and computer use.

Image collections are first identified through an extensive literature review of published journal articles and a web search. Then, a coding scheme focusing on image collections’ creation, organization, access and use is developed. Next, three major benchmark image collections are analysed based on the proposed coding scheme. Finally, the characteristics of benchmark image collections are summarized and compared to DLs.

Although most of the image collections in DLs are carefully curated and organized using various metadata schema based on an image’s external features to facilitate human use, the benchmark image collections created for promoting image processing algorithms are annotated on an image’s content to the pixel level, which makes each image collection a more fine-grained, organized database appropriate for developing automatic techniques on classification summarization, visualization and content-based retrieval.

This paper overviews image collections by their application fields. The three most representative natural image collections in general areas are analysed in detail based on a homemade coding scheme, which could be further extended. Also, domain-specific image collections, such as medical image collections or collections for scientific purposes, are not covered.

This paper helps DLs with image collections to understand how benchmark image collections used by current image processing research are created, organized and managed. It informs multiple parties pertinent to image collections to collaborate on building, sustaining, enriching and providing access to image collections.

This paper is the first attempt to review and summarize benchmark image collections for DL managers and developers. The collection creation process and image organization used in these benchmark image collections open a new perspective to digital librarians for their future DL collection development.

This paper presents the results of survey research conducted in 1994 and 1995 on consumer perceptions of different retail formats in Albania. As a developing country where consumers and retailers are learning to adjust to a new market system, Albania presents a unique context for this type of study. We measured consumer perceptions of merchandising and customer service attributes and overall satisfaction for private stores with a permanent location, kiosks, and open market vendors. Contrary to other studies of informal retailers, our results show that open market vendors and, to a lesser extent, kiosks provide consumers with less overall satisfaction as compared to the permanent, private stores. Since these markets are segmented to a certain extent by product type, consumers shopped across all markets. Over time, consumers are becoming more confident of their decision skills, product quality has become more important, and permanent private stores were perceived as improving in merchandising and service. However, shopping frequency in the open market increased due to the economic situation. Implications for both Albanian entrepreneurs and potential foreign investors are discussed.

Last year's AIIM (Association for Information and Image Management) Show in Chicago broke all records with 25,879 visitors (20,490 in San Francisco, 1989), and 247 exhibitors (204 in 1989). For the first time, Digital Equipment Corporation (DEC), Hewlett‐Packard and Sun Microsystems attended the show.