A critical practice-based exploration of interactive panoramas' role in helping to preserve cultural memory

I am enclosing the content of two DVDs which are integral part of the practice-based thesis.The rapid development of digital communication technologies in the 20th and 21st centuries has affected the way researchers look at ways memory – especially cultural memory – can be preserved and enhanced. State-of-the-art communication technologies such as the Internet or immersive environments support participation and interaction and transform memory into ‘prosthetic’ experience, where digital technologies could enable 'implantation' of events that have not actually been experienced. While there is a wealth of research on the preservation of public memory and cultural heritage sites using digital media, more can be explored on how these media can contribute to the cultivation of cultural memory. One of the most interesting phenomena related to this issue is how panoramas, which are immersive and have a well-established tradition in preserving memories, can be enhanced by recent digital technologies and image spaces. The emergence of digital panoramic video cameras and panoramic environments has opened up new opportunities for exploring the role of interactive panoramas not only as a documentary tool for visiting sites but mainly as a more complex technique for telling non-linear interactive narratives through the application of panoramic photography and panoramic videography which, when presented in a wrap-around environment, could enhance recalling. This thesis attempts to explore a way of preserving inspirational environments and memory sites in a way that combines panoramic interactive film and traversing the panoramic environment with viewing the photo-realistic panoramic content rather than computer-generated environment. This research is based on two case studies. The case study of Charles Church in Plymouth represents the topical approach to narrative and focuses on the preservation of the memory of the Blitz in Plymouth and the ruin of Charles Church which stands as a silent reminder of this event. The case study of Charles Causley reflects topographical approach where, through traversing the town of Launceston, viewers learn about Causley’s life and places that provided inspirations for his poems. The thesis explores through practice what can be done and reflects on positive and less positive aspects of preserving cultural memory in these case studies in a critical way. Therefore, the results and recommendations from this thesis can be seen as valuable contribution to the study of intermedia and cultural memory in general

Event-based Vision: A Survey

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time, location and sign of the brightness changes. Event cameras offer attractive properties compared to traditional cameras: high temporal resolution (in the order of microseconds), very high dynamic range (140 dB vs. 60 dB), low power consumption, and high pixel bandwidth (on the order of kHz) resulting in reduced motion blur. Hence, event cameras have a large potential for robotics and computer vision in challenging scenarios for traditional cameras, such as low-latency, high speed, and high dynamic range. However, novel methods are required to process the unconventional output of these sensors in order to unlock their potential. This paper provides a comprehensive overview of the emerging field of event-based vision, with a focus on the applications and the algorithms developed to unlock the outstanding properties of event cameras. We present event cameras from their working principle, the actual sensors that are available and the tasks that they have been used for, from low-level vision (feature detection and tracking, optic flow, etc.) to high-level vision (reconstruction, segmentation, recognition). We also discuss the techniques developed to process events, including learning-based techniques, as well as specialized processors for these novel sensors, such as spiking neural networks. Additionally, we highlight the challenges that remain to be tackled and the opportunities that lie ahead in the search for a more efficient, bio-inspired way for machines to perceive and interact with the world

Online Video Deblurring via Dynamic Temporal Blending Network

State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing methods are based on batch processing and thus need access to all recorded frames, rendering them computationally demanding and time consuming and thus limiting their practical use. In contrast, we propose an online (sequential) video deblurring method based on a spatio-temporal recurrent network that allows for real-time performance. In particular, we introduce a novel architecture which extends the receptive field while keeping the overall size of the network small to enable fast execution. In doing so, our network is able to remove even large blur caused by strong camera shake and/or fast moving objects. Furthermore, we propose a novel network layer that enforces temporal consistency between consecutive frames by dynamic temporal blending which compares and adaptively (at test time) shares features obtained at different time steps. We show the superiority of the proposed method in an extensive experimental evaluation.Comment: 10 page