Image usefulness of compressed surveillance footage with different scene contents

The police use both subjective (i.e. police staff) and automated (e.g. face recognition systems) methods for the completion of visual tasks (e.g person identification). Image quality for police tasks has been defined as the image usefulness, or image suitability of the visual material to satisfy a visual task. It is not necessarily affected by any artefact that may affect the visual image quality (i.e. decrease fidelity), as long as these artefacts do not affect the relevant useful information for the task. The capture of useful information will be affected by the unconstrained conditions commonly encountered by CCTV systems such as variations in illumination and high compression levels. The main aim of this thesis is to investigate aspects of image quality and video compression that may affect the completion of police visual tasks/applications with respect to CCTV imagery. This is accomplished by investigating 3 specific police areas/tasks utilising: 1) the human visual system (HVS) for a face recognition task, 2) automated face recognition systems, and 3) automated human detection systems. These systems (HVS and automated) were assessed with defined scene content properties, and video compression, i.e. H.264/MPEG-4 AVC. The performance of imaging systems/processes (e.g. subjective investigations, performance of compression algorithms) are affected by scene content properties. No other investigation has been identified that takes into consideration scene content properties to the same extend. Results have shown that the HVS is more sensitive to compression effects in comparison to the automated systems. In automated face recognition systems, `mixed lightness' scenes were the most affected and `low lightness' scenes were the least affected by compression. In contrast the HVS for the face recognition task, `low lightness' scenes were the most affected and `medium lightness' scenes the least affected. For the automated human detection systems, `close distance' and `run approach' are some of the most commonly affected scenes. Findings have the potential to broaden the methods used for testing imaging systems for security applications.

Picturing Gentrification: Representation of Urban Change, Pendleton Salford

The paper examines how visual representations of urban regeneration contribute to the gentrification process. It asks can alternative photographic and textual strategies provide a meaningful counter narrative to resist persuasive corporate discourses on urban revitalization? Focusing on the gentrification of social housing in Pendleton, Salford (Greater Manchester) the paper debates the role of visual imagery in fostering perceptions about urban change by evaluating fieldwork undertaken by the authors in the site since 2004. The paper will question whether such an in-depth longitudinal project and its consequent archive can be utilized as a political tool to highlight the wider processes involved in such regimes of disinvestment and accumulation. Through the combination of photography and site writing in the environment can certain economic and political processes be made legible if not fully visible to highlight causation and effect?