Virtual reality (VR) streaming (a.k.a., 360-degree video streaming) has been gaining popularity recently as a new form of multimedia providing the users with immersive viewing experience. However, the high volume of data for the 360-degree video frames creates significant bandwi…
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Image Forensics has become an important area of research due to the exponential increase in availability and free exchange of media. The accessibility to good quality sensors and image hosting websites is now at the disposal of more users than ever. The increase in sharing of im…
Cranes are used worldwide for transportation and material handling in a variety of industries and facilities, including manufacturing industries, shipyards, and warehouses. Safety and efficiency in crane operations are a concern, since these issues are closely related to product…
With the growing ubiquity of mobile devices, users are turning to their smartphones and tablets to perform more complex tasks than ever before. Performing computer vision tasks on mobile devices must be done despite the constraints on CPU performance, memory, and power consumpti…
Quality defects in fresh fruits and vegetables have adverse effects on the market value of the products. Increased consumer awareness of product quality has made the marketing of fresh fruits and vegetables so competitive that maintaining high quality is essential to economic su…
Visual speech synthesis deals with synthesising facial animation from an audio representation of speech. In the last decade or so, data-driven approaches have gained prominence with the development of Machine Learning techniques that can learn an audio-visual mapping. Many of th…
Improving road safety and reducing the number of accidents is one of the top priorities for the automotive industry. As human driving behaviour is one of the top causation factors of road accidents, research is working towards removing control from the human driver by automating…
Video compression is pervasive in digital society. With rising usage of deep convolutional neural networks (CNNs) in the fields of computer vision, video analysis and video tampering detection, it is important to investigate how patterns invisible to human eyes may be influencin…
Visual Simultaneous Localisation and Mapping (SLAM) is a vital technology for the advancement of autonomous robotics, providing a means of both mapping and pose estimation from visual data. Many advances in visual and RGB-D SLAM however have built upon established point feature …
Visual object classifcation and detection are major problems in contemporary com-puter vision. State-of-art algorithms allow thousands of visual objects to be learnedand recognized, under a wide range of variations including lighting changes, occlusionand point of view etc. Howe…
Immunohistochemical (IHC) assessment in cancer research is important for understanding the distribution and localisation of biomarkers at the cellular level. However currently IHC analyses are predominantly performed manually, increasing workloads and introducing inter- and intr…
Stop-motion animation is a traditional form of animation that has been practised for over 100 years. While the unique look and feel of stop-motion animation has been retained in modern productions, the production process has been modernised to take advantage of technological adv…
For the past decade computer vision research has achieved increasing success in visual recognition including object detection and video classification. Nevertheless, these achievements still cannot meet the urgent needs of image and video understanding. The recently rapid develo…
Stereo vision from short-baseline image pairs is one of the most active research fields in computer vision. The estimation of dense disparity maps from stereo image pairs is still a challenging task and there is further space for improving accuracy, minimizing the computational …
Osteoarthritis (OA) is the most common form of human joint disease causing significant pain and disability. Current treatment for hip OA is limited to pain management and joint replacement for end-stage disease. The development of methods for early diagnosis and new treatment op…
There has been a significant number of security concerns in recent times; as a result, security cameras have been installed to monitor activities and to prevent crimes in most public places. These analysis are done either through video analytic or forensic analysis operations on…
Reconstructing the 3D geometry of scenes based on monocular image sequences is a long-standing problem in computer vision. Structure from motion (SfM) aims at a data-driven approach without requiring a priori models of the scene. When the scene is rigid, SfM is a well understood…
The ability to synthesise the effects of ageing in human faces has numerous uses from aiding the search for missing people to improving recognition algorithms and aiding surgical planning. The principal contribution of this thesis is a novel method for synthesising the visual ef…
In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of everyday human activities. For a majority of environments, …