Representation and judgement : 'privileged' Jews in Holocaust writing and film

This thesis analyses the ways in which moral judgements of so-called privileged Jews are constructed in Holocaust representations. ‘Privileged’ Jews include those prisoners in the camps and ghettos who held positions which gave them access to material and other benefits. Subject to extreme levels of coercion, these victims were compelled to act in ways that have often been judged as both self-serving and harmful to fellow inmates. Such controversial figures constitute an intrinsically important, frequently misunderstood and hastily judged facet of the Holocaust. Scholars have neglected the problem of judgement in relation to ‘privileged’ Jews; nonetheless, Holocaust texts frequently portray these liminal figures.

Of crucial importance to the thesis is Primo Levi’s paradigmatic essay entitled ‘The Grey Zone,’ which directly engages with the complex and sensitive issue of ‘privileged’ Jews. Levi argues that due to the extreme ethical dilemmas that ‘privileged’ Jews confronted, any judgement of these victims needs to be suspended. However, if, as Levi suggests, judgement is at times impossible, the thesis challenges Levi’s assumption by contending that representations of ‘privileged’ Jews inevitably take a moral position. In this way, the thesis conceptualises judgement as a ‘limit’ of representation. Indeed, it is shown that Levi himself cannot abstain from judging those for whom he argues judgement should be suspended.

The thesis takes Levi’s concept of the ‘grey zone’ as a point of departure in order to examine the problems of judgement and representation in relation to ‘privileged’ Jews. Analysis focuses on Raul Hilberg’s influential historical work and examples of documentary and fiction films. The thesis examines how Hilberg and several filmmakers employ conventions as a means of conveying judgement. It is argued that self-reflexive representations of ‘privileged’ Jews in film, particularly fictional dramatisation, have the potential to provide a nuanced representation of ‘privileged’ Jews, which engages with Levi’s ideas by questioning the possibility of judgement.

Individual differences in affective responses to violence and sexual violence

The thesis aimed to identify and compare individual differences in anger related affective responses upon exposure to neutral, violent and sexually violent film. The findings revealed that both graphic and non-graphic sexually violent film content may have a stronger impact on viewers' anger levels than exposure to standard violent film. The portfolio examined in four case studies the utility of the Violence Risk Scale when seeking to identify factors associated with risk of violent recidivism and subsequent treatment targets for intellectually disabled offenders . Treatment indications must consider the impaired cognitive and adaptive abilities and the difficulties inherent in modifying the behavioural characteristics of intellectually disabled offenders.

Cavity

This series of photographs focuses on caves in Western Victoria that have a layer of colonial occupation; caves said to be inhabited by bush rangers, escaped convicts, shipwreck survivors and hermits. The photographer was drawn to a rich vein of sites associated with colonial myths of inhabitation. These include the escaped convict William Buckley; Miss Carmichael, survivor of the wreck of the Lochard in 1878; Bushranger Captain Melville, and elusive enigmatic Black Ranges hermit David Ross. The resulting photographs explore the sensory and psychological resonance of these extraordinary places, what they feel like and how they feed the imagination, the need to feel rooted, to feel at home. Her approach embraces the paradoxical ambivalence of this need and the complex process of negotiating our presence in the land.

Automatic genre identification for content-based video categorization

This paper presents a set of computational features originating from our study of editing effects, motion, and color used in videos, for the task of automatic video categorization. These features besides representing human understanding of typical attributes of different video genres, are also inspired by the techniques and rules used by many directors to endow specific characteristics to a genre-program which lead to certain emotional impact on viewers. We propose new features whilst also employing traditionally used ones for classification. This research, goes beyond the existing work with a systematic analysis of trends exhibited by each of our features in genres such as cartoons, commercials, music, news, and sports, and it enables an understanding of the similarities, dissimilarities, and also likely confusion between genres. Classification results from our experiments on several hours of video establish the usefulness of this feature set. We also explore the issue of video clip duration required to achieve reliable genre identification and demonstrate its impact on classification accuracy.

Detection of setting and subject information in documentary video

Interpretation of video information is a difficult task for computer vision and machine intelligence. In this paper we examine the utility of a non-image based source of information about video contents, namely the shot list, and study its use in aiding image interpretation. We show how the shot list may be analysed to produce a simple summary of the 'who and where' of a documentary or interview video. In order to detect the subject of a video we use the notion of a 'shot syntax' of a particular genre to isolate actual interview sections.

Injection, detection and repair of aesthetics in home movies

This paper details the design of an algorithm for automatically manipulating the important aesthetic element of video, visual tempo. Automatic injection, detection and repair of such aesthetic elements, it is argued, is vital to the next generation of amateur multimedia authoring tools. We evaluate the performance of the algorithm on a battery of synthetic data and demonstrate its ability to return the visual tempo of the final media a considerable degree closer to the target signal. The novelty of this work lies chiefly in the systematic manipulation of this high level aesthetic element of video.

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/training video. Rather than using hand-crafted approaches to define the structural units, we use the data from nine training videos to learn the parameters of the HHMM, and thus naturally extract the hierarchy. We then study this hierarchy and examine the nature of the structure at different levels of abstraction. Since the observable is continuous, we also show how to extend the parameter learning in the HHMM to deal with continuous observations.

Neighborhood coherence and edge based approaches to film scene extraction

In order to enable high-level semantics-based video annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from film production to determine when a scene change occurs in film. We examine different rules and conventions followed as part of Film Grammar to guide and shape our algorithmic solution for determining a scene boundary. Two different techniques are proposed as new solutions in this paper. Our experimental results on 10 full-length movies show that our technique based on shot sequence coherence performs well and reasonably better than the color edges-based approach.

Horror film genre typing and scene labeling via audio analysis

We examine localised sound energy patterns, or events, that we associate with high level affect experienced with films. The study of sound energy events in conjunction with their intended affect enable the analysis of film at a higher conceptual level, such as genre. The various affect/emotional responses we investigate in this paper are brought about by well established patterns of sound energy dynamics employed in audio tracks of horror films. This allows the examination of the thematic content of the films in relation to horror elements. We analyse the frequency of sound energy and affect events at a film level as well as at a scene level, and propose measures indicative of the film genre and scene content. Using 4 horror, and 2 non-horror movies as experimental data we establish a correlation between the sound energy event types and horrific thematic content within film, thus enabling an automated mechanism for genre typing and scene content labeling in film.

Identifying film takes for cinematic analysis

In this paper, we focus on the ‘reverse editing’ problem in movie analysis, i.e., the extraction of film takes, original camera shots that a film editor extracts and arranges to produce a finished scene. The ability to disassemble final scenes and shots into takes is essential for nonlinear browsing, content annotation and the extraction of higher order cinematic constructs from film. In this work, we investigate agglomerative hierachical clustering methods along with different similarity metrics and group distances for this task, and demonstrate our findings with 10 movies.

IMCE : integrated media creation environment

We discuss the design and implementation of an integrated media creation environment, and demonstrate its efficacy in the generation of two simple home movies. The significance for the average user seeking to create home movies lies in the flexible and automatic application of film principles to the task, removal of tedious low-level editing by means of wellformed media transformations in terms of high-level film constructs (e.g. tempo), and content repurposing powered by those same transformations added to the rich semantic information maintained at each phase of the process.

On the extraction of thematic and dramatic functions of content in educational videos

In this paper, we propose novel computational models for the extraction of high level expressive constructs related to, namely thematic and dramatic functions of the content shown in educational and training videos. Drawing on the existing knowledge of film theory, and media production rules and conventions used by the filmmakers. we hypothesize key aesthetic elements contributing to convey these functions of the content. Computational models to extract them are then formulated and their performance evaluated on a set of ten educational and training videos is presented.

Automated film rhythm extraction for scene analysis

This paper examines film rhythm, an important expressive element in motion pictures, based on our ongoing study to exploit film grammar as a broad computational framework for the task of automated film and video understanding. Of the many, more or less elusive, narrative devices contributing to film rhythm, this paper discusses motion characteristics that form the basis of our analysis, and presents novel computational models for extracting rhythmic patterns induced through a perception of motion. In our rhythm model, motion behaviour is classified as being either nonexistent, fluid or staccato for a given shot. Shot neighbourhoods in movies are then grouped by proportional makeup of these motion behavioural classes to yield seven high-level rhythmic arrangements that prove to be adept at indicating likely scene content (e.g. dialogue or chase sequence) in our experiments. Underlying causes for this level of codification in our approach are postulated from film grammar, and are accompanied by detailed demonstration from real movies for the purposes of clarification.

Determining dramatic intensification via flashing lights in movies

Movie directors and producers worldwide, in their quest to narrate a good story that warrants repeated audience viewing, use many cinematic elements to intensify and clarify the viewing experience. One such element that directors manipulate is lighting. In this paper we examine one aspect of lighting, namely flashing lights, and its role as an intensifier of dramatic effects in film. We present an algorithm for robust extraction of flashing lights and a simple mechanism to group detected flashing lights into flashing light scenes and analyze the role of these segments in story narration. In addition, we demonstrate how flashing lights detection can improve the performance of shot-based video segmentation. Experiments on a number of video sequences extracted from real movies yields good results. Our technique detects 90.4% of flashing lights. The detected flashing lights correctly eliminates 92.7% of false cuts in these sequences. In addition, data support is compiled to demonstrate the association between flashing light scenes and certain dramatic intensification events such as supernatural power, crisis or excitement.

Looking for meaning: the found object in animation

This paper will focus upon the use of found objects in stop-motion animation. It will survey a number of found-object animated films, exploring how the viewer might closely identify with such objects in motion, as well as attributing to them multiple meanings. This analysis will be furthered through the consideration of an object-orientated phenomenological perspective, referencing Graham Harman and Martin Heidegger. It will also consider how the cinema studies concept of star studies might be applied to the use of found objects in animation as a means of detecting additional layers of meaning.