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This chapter provides an analysis of images produced and employed in protests against surveillance in Germany in 2008 and 2009. For this purpose, a method of visual analysis is developed that draws mainly on semiotics and art history. Following this method, the contribution examines a selection of images (pictures and graphic design) from the anti-surveillance protests in three steps: description of components, detection of conventional signs, and contextual analysis. Furthermore, the analysis compares the images of the two major currents of the protest (liberal and radical left) in order to elucidate the context in which images are created and used. The analysis shows that images do not merely illustrate existing political messages but contribute to movements’ systems of meaning creation and transportation. The two currents in the protests communicate their point of view through the images both strategically and expressively. The images play a crucial role in formulating groups’ different strategies as well as worldviews and identities. In addition, the analysis shows that the meaning of images is contested and contextual. Images are produced and received in specific national as well as issue contexts. Future research should address the issue of context and reception in greater depth in order to further explore the effects of visual language on mobilization. Overall, the contribution demonstrates that systematic visual analysis allows our understanding of social movements’ aims, strategy, and collective identity to be deepened. In addition, visual analysis may provide activists with a tool to critically assess their visual communication.

The growth of police operated surveillance cameras has out-paced the ability of humans to monitor them effectively. Computer vision is a possible solution. An ongoing research project on the application of computer vision within a municipal police department is described. The paper aims to discuss these issues.

Following the demystification of computer vision technology, its potential for police agencies is developed within a focus on computer vision as a solution for two common surveillance camera tasks (live monitoring of multiple surveillance cameras and summarizing archived video files). Three unaddressed research questions (can specialized computer vision applications for law enforcement be developed at this time, how will computer vision be utilized within existing public safety camera monitoring rooms, and what are the system-wide impacts of a computer vision capability on local criminal justice systems) are considered.

Despite computer vision becoming accessible to law enforcement agencies the impact of computer vision has not been discussed or adequately researched. There is little knowledge of computer vision or its potential in the field.

This paper introduces and discusses computer vision from a law enforcement perspective and will be valuable to police personnel tasked with monitoring large camera networks and considering computer vision as a system upgrade.

Police technology fundamentally shapes the police role, and the adoption of technology is even linked to the success of police reforms. Police adoption of emerging technological tools changes the way police interact with citizens. The change in police citizen interactions can then have serious implications for the social control that police have over citizens, the civil liberties citizens enjoy, police accountability, and the legitimacy that the police hold in contemporary American society.

While technology impacts these critical issues in policing, not all technology adopted by the police is likely to influence their relationship with the public. As such, this chapter closely examines the ways that several emerging technologies adopted by the police (i.e., body-worn cameras (BWC), aerial surveillance, visual surveillance, social media, mapping and crime prediction, and less lethal force technology) impact issues related to social control, accountability, and legitimacy. The current literature seems to indicate that some innovations such as BWCs enhance police accountability and legitimacy, and also expand social control. Other technologies such as aerial surveillance and conducted energy devices increase social control, and display a complicated or unclear influence over police legitimacy.

This study aims to examine the imagining of libraries and the depiction of library services in contemporary science fiction novels. Analyses of libraries in contemporary science fiction may reveal expectations of libraries and the roles they play in future societies. These may, in turn, be used by the library profession to innovate and to discover opportunities to design and improve library services that meet the expectations of library users now and in the future.

This research applied a content analysis approach to examine references to libraries in a purposeful sample of science fiction novels published between 2009 and 2019. The sample consists of 29 novels selected from the 2010–2020 winners of the Hugo Award for Best Novel, The Nebula Award for Best Novel, the Locus Award for Best Science Fiction Novel, The Philip K Dick Award and the Arthur C Clarke Award.

This research finds that libraries are a common feature within contemporary science fiction novels, primarily as part of the background setting of the narratives. Libraries are particularly common in peri-apocalyptic novels, often as “reinvented” libraries. This research identifies considerable differences in the way libraries and information access and use are depicted and documented in science fiction worlds of plenty, compared to those of scarcity. Other key themes discussed include freedom of access to information, and the supposedly common negative stereotyping of libraries.

Existing literature indicates anxiety about the future of libraries which the findings of this research do not support. The insights gained suggested instead, the emergence of an image of libraries as being embedded in the fabric of societies. This indicates the expectation of the place and role of libraries in contemporary societies. Libraries and their services must be adeptly placed and woven into the many facets of the societies they serve.

Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner.

Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithms on public data sets manifesting simulated fights, where the fights are acted out by actors. To evaluate real fights, the authors collected videos involving real fights to form a data set. Based on the two types of data sets, the authors evaluated the performance of their motion signal analysis algorithm, which was then compared with the state-of-the-art approach based on MoSIFT descriptors with Bag-of-Words mechanism, and basic motion signal analysis with Bag-of-Words.

The experimental results indicate that the proposed approach accurately detects fights in real scenarios and performs better than the MoSIFT approach.

By collecting and annotating real surveillance videos containing real fight events and augmenting with well-known data sets, the authors proposed, implemented and evaluated a low computation approach, comparing it with the state-of-the-art approach. The authors uncovered some fundamental differences between real and simulated fights and initiated a new study in discriminating real against simulated fight events, with very good performance.

Public video surveillance tends to be discussed in either utopian or dystopian terms: proponents maintain that camera surveillance is the perfect tool in the fight against crime, while critics argue that the use of security cameras is central to the development of a panoptic, Orwellian surveillance society. This paper provides an alternative, more nuanced view. On the basis of an empirical case study, the paper explores how camera surveillance applications do not simply augment surveillance capacities, but rather have to deal with considerable uncertainties in the process of producing a continuous, effective, all‐seeing gaze. The case study shows that the actions of human operators and the operation of camera technologies each place limits on the execution of electronic visual surveillance, instead of efficiently enhancing the powers of the surveilling gaze. The analysis suggests that the effects of video surveillance are rather ambivalent and uncertain, thus showing that public camera systems are not simply beneficial or malign.

This paper aims to address the problem of uncertain product quality in digital light processing (DLP) three-dimensional (3D) printing, a scheme is proposed to qualitatively estimate whether a layer is printed with the qualified quality or not cured .

A thermochromic pigment whose color fades at 45°C is prepared as the indicator and it is mixed with the resin. A visual surveillance framework is proposed to monitor the visual variation in a period of the entire curing process. The exposure region is divided into 30 × 30 sub-regions; gray-level variation curves (curing curves) in all sub-regions are classified as normal or abnormal and a corresponding printing control strategy is designed to improve the percentage of qualified printed objects.

The temperature variation caused by the releasing reaction heat on the exposure surface is consistent in different regions under the homogenized light intensity. The temperature in depth begins to rise at different times. The temperature in the regions near the light source rises earlier, and that far from the light source rises later. Thus, the color of resin mixed with the thermochromic pigment fades gradually over a period of the entire solidification process. The color variation in the regions with defects of bubbles, insufficient material filling, etc., is much different from that in the normal curing regions.

A temperature-sensitive organic chromatic chemical pigment is prepared to present the visual variation over a period of the entire curing process. A novel 3D printing scheme with visual surveillance is proposed to monitor the layer-wise curing quality and to timely stop the possible unqualified printing resulted from bubbles, insufficient material filling, etc.

The purpose of the paper is to explore the potential of visual cultural studies (VCS) to inform and extend research on “accounting and the visual”.

A VCS framework is utilized: to draw together and organize work on “accounting and the visual”; and to illustrate how concepts and empirical studies from VCS can develop and extend accounting research.

The “visual culture turn” in the social sciences has generated considerable theorizing and empirical research pertinent to accounting research. In particular, it can deepen studies of accounting visuality – accounting's visibilities, invisibilities and ways of seeing – and stimulate new imag(in)ings.

The paper introduces accounting researchers to questions, topics, concepts and debates in the VCS field and illustrates how accounting and VCS research can mutually inform each other and foster interpretive/critical accounting projects.

VCS can frame studies of “accounting and the visual” (i.e. affirm it as a distinct field, with rich interdisciplinary connections) with implications for developing and extending accounting research.

To discuss and review the shift to computer enhanced self‐monitoring CCTV surveillance systems of public spaces and the social implications of this shift.

A review of the research and evaluation literature concerning CCTV surveillance systems culling out the history of public space CCTV systems and the concerns associated with first and second generation CCTV surveillance.

The main difference between first and second generation surveillance is the change from a “dumb camera” that needs a human eye to evaluate its images to a computer‐linked camera system that evaluates its own video images. Second generation systems reduce the human factor in surveillance and address some of the basic concerns associated with first generation surveillance systems such as data swamping, boredom, voyeurism, and profiling. Their enhanced capabilities, though, raise new concerns, particularly the expansion of surveillance and its intrusiveness.

Additional research is needed to assess CCTV surveillance on a set of social dynamics such as informal guardianship activities by citizens.

The adoption of computer‐enhanced CCTV surveillance systems should not be an automatic response to a public space security problem and their deployment should not be decided simply on the technology's availability or cost.

This paper provides a concise overview of the concerns associated with first generation CCTV surveillance and how the evolution of computer‐enhanced CCTV surveillance systems will alter and add to these concerns. For researchers it details research questions that need to be addressed. For practitioners and government officials considering the use of public space CCTV surveillance it provides a set of issues that should be considered prior to system adoption or deployment.

This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.