Saudi Cultural Missions Theses & Dissertations
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Item Restricted Face Recognition in Autism: Investigating the Own-Race Effect and Social Status Cues(University of Stirling, 2024-08) Alaaiwi, Atheer; Bjornsdottir, ThoraFace Recognition in Autism: Investigating the Own-Race Effect and Social Status Cues16 0Item Restricted Facial Profile Recognition Using Comparative Soft Biometrics(University of Southampton, 2024-08-15) Alamri, Malak; Mahmoodi, SasanThe identification of suspects in surveillance footage is crucial for maintaining public safety, preventing crime, conserving police resources, and aiding forensic investigations. Although eyewitness testimonies are valuable assets in numerous criminal cases, it is presently rather challenging to identify individuals in real-world closed-circuit television (CCTV) footage solely based on eyewitness descriptions. As a result, there has been a significant rise in the interest of using soft biometrics, which are physical and behavioural attributes that are used to semantically describe people under adverse surveillance conditions. Traditional biometrics are used when images or videos are available. Nevertheless, in certain instances, only eyewitness testimonies are available. In such scenarios, soft biometrics are applied to transform the eyewitness testimony into a collection of features that can be utilised for automated recognition. Furthermore, when images, videos and eyewitness testimonies are available, the fusion of soft biometrics with traditional biometrics becomes essential. The objective of this thesis is to investigate the integration of soft biometrics with traditional biometrics, enabling the search of video footage and biometric data based on descriptive information to identify suspects. The existing literature on facial soft biometrics mainly focuses on the frontal face, However this approach fails to acknowledge the importance of facial profiles, which have been demonstrated to be highly accurate. It is crucial to consider facial profiles because there are situations in which only these profiles are captured in images and videos from surveillance and security cameras. In such instances, existing facial recognition algorithms designed for frontal views are ineffective, emphasising the necessity for recognition systems specifically tailored for profile faces. This thesis builds upon previous research on using soft biometrics for human recognition, with a specific emphasis on the potential of soft biometrics in identifying facial profiles. Soft biometrics involves crowdsourcing human annotations through ordered and similarity comparisons. Advanced machine learning techniques are also used to estimate comparative attributes from images. In addition, we analyse the attribute’s correspondence between the traditional biometric and soft biometric based on facial profiles. Therefore, we have bridged the gap between human perception and computer vision for facial profile biometric. In comparison to prior work on facial profiles, the developed approaches have demonstrated a higher level of performance. Our findings indicate that the performance of the system further improves after fusing the semantic and visual spaces. Furthermore, this thesis examines the bilateral symmetry of human facial profiles and develops a method for extracting features from facial profiles, inspired by the few-shot learning framework. Our algorithm, which is based on few-shot learning, achieves an impressive level of accuracy even when working with datasets containing a large number of subjects and low number of samples per subject.37 0Item Restricted Representations of Recognition and the Radicalised in Selected Fiction and TV Shows on ISIS(University of York, 2024-01-22) Alfageeh, Asmaa; Chambers, ClaireAfter the emergence of ISIS, the Anglophone literary and audiovisual scenes witnessed a transformation in the portrayal of the terrorist figure and in the treatment of issues related to jihadism, terrorism and radicalisation in recent works dealing with ISIS. The narratives in these works shifted from depicting the demonised terrorist to representing the humanised radicalised subject, giving the jihadi a voice and recognition. However, there remains not only a need for further studies on terrorism in fiction and visual culture, but also a gap in the fields of literature, film and TV studies on the topic of radicalisation as a precursor to terrorism. Thus, this thesis aims to study these narrations by looking deeply into representations of radicalisation, rather than terrorism, and the figure of the radicalised, instead of the terrorist. Using different theorisations and conceptualisations of the theory of recognition, it examines a selection of fictional and televisual works: Kamila Shamsie’s novel Home Fire, Muhammad Khan’s novel I Am Thunder, Fatima Bhutto’s novel The Runaways, Peter Kosminsky’s factual drama The State and the melodrama Black Crows by Hussam Alrantisi, Hussein Shawkat and Adel Adeeb. I argue that exploring representations of recognition and the radicalised contributes to understanding radicalisation and its factors. The study begins by examining the claim to recognition of the radicalised characters in relation to listening and speaking in the selected novels under scrutiny. It moves on to look beyond the claim for recognition in the selected TV shows by investigating and comparing how they recognise the radicalised. I contend that in these works, recognition is used as a mode of textual and visual engagement. Theories of recognition facilitate an understanding of the process of radicalisation, while factors including the authors’ and directors’ identities and social and political discourses affect the degree of sympathy they evince.41 0