A case study in identifying acceptable bitrates for human face recognition tasks

Face recognition from images or video footage requires a certain level of recorded image quality. This paper derives acceptable bitrates (relating to levels of compression and consequently quality) of footage with human faces, using an industry implementation of the standard H.264/MPEG-4 AVC and the Closed-Circuit Television (CCTV) recording systems on London buses. The London buses application is utilized as a case study for setting up a methodology and implementing suitable data analysis for face recognition from recorded footage, which has been degraded by compression. The majority of CCTV recorders on buses use a proprietary format based on the H.264/MPEG-4 AVC video coding standard, exploiting both spatial and temporal redundancy. Low bitrates are favored in the CCTV industry for saving storage and transmission bandwidth, but they compromise the image usefulness of the recorded imagery. In this context, usefulness is determined by the presence of enough facial information remaining in the compressed image to allow a specialist to recognize a person. The investigation includes four steps: (1) Development of a video dataset representative of typical CCTV bus scenarios. (2) Selection and grouping of video scenes based on local (facial) and global (entire scene) content properties. (3) Psychophysical investigations to identify the key scenes, which are most affected by compression, using an industry implementation of H.264/MPEG-4 AVC. (4) Testing of CCTV recording systems on buses with the key scenes and further psychophysical investigations. The results showed a dependency upon scene content properties. Very dark scenes and scenes with high levels of spatial–temporal busyness were the most challenging to compress, requiring higher bitrates to maintain useful information.

Curating in the post-industrial landscape case study: Ambika P3

An analysis of curating in the post-industrial landscape using the venue of Ambika P3, University of Westminster as a case study.

Stumbling Blocks in Empirical Legal Research: Case Study Research

This article examines the main assumptions and theoretical underpinnings of case study method in legal studies. It considers the importance of research design, including the crucial roles of the academic literature review, the research question and the use of rival theories to develop hypotheses and the practice of identifying the observable implications of those hypotheses. It considers the selection of data sources and modes of analysis to allow for valid analytical inferences to be drawn in respect of them. In doing so it considers, in brief, the importance of case study selection and variations such as single or multi case approaches. Finally it provides thoughts about the strengths and weaknesses associated with undertaking socio-legal and comparative legal research via a case study method, addressing frequent stumbling blocks encountered by legal researchers, as well as ways to militate them. It is written with those new to the method in mind.