The huge number of images shared on the Web makes effective cataloguing methods for efficient storage and retrieval procedures specifically tailored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for image tagging with a focus on the needs of database expansion for a news broadcasting company. First, we determine the feasibility of using AIA in such a context with the aim of minimizing an extensive retraining whenever a new tag needs to be incorporated in the tag set population. Then, an image annotation tool integrating a Convolutional Neural Network model (AlexNet) for feature extraction and a K-Nearest-Neighbours classifier for tag assignment to images is introduced and tested. The obtained performances are very promising addressing the proposed approach as valuable to tackle the problem of image tagging in the framework of a broadcasting company, whilst not yet optimal for integration in the business process.
Inte Gloerich and Gabriele Ferri investigate the impacts of Covid-related datafication on marginalized urban communities, emphasizing the importance of creativity and imagination in fostering resilience and agency in the face of ongoing and future crises.
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The increasing concentration of people in urban environments in an era of globalisation means that social, economic, and environmental resources for living and working are under pressure. Urban communities experience increased stress levels due to inadequate and overburdened infrastructure and services, challenges due to ethnic and cultural diversity, socio-economic inequalities as well as the impact of environmental degradation. For these communities to build resilience under these circumstances therefore requires a multipronged approach. The underlying question this project will answer is: “What are the key characteristics of experiencescapes that contribute to resilience-building in communities?” The project will dive into the identification of building blocks of experiencescapes and roles of relevant actors that can support communities in building resilience. Within the context of a multidisciplinary approach, this project applies a range of qualitative research methods, such as in-depth interviews, focus groups, participant observation, storytelling techniques, life stories, as well as various biometric quantitative methods, available through the experience lab of BUas. The outcome of the project will enable practitioners and researchers alike in various sectors to understand what and how they can contribute to creating an environment in which people can meaningfully interact in a way that builds resilience in communities. This outcome is communicated not only through academic publications and conference contributions, but also through public reports and a handbook for practitioners and students. These reports and handbooks support identification and application of building blocks of experiencescapes that support building resilience in communities. Finally, the knowledge generated in the project will contribute to the development of curricula of various educational programmes at Breda University of Applied Sciences by expanding the scope of experience design into the area of people-to-people relationships.
