Application offloading is an emerging area focus towards leveraging the huge computation resources available in cloud to avail for the mobile. This research area is quite challenging due to heterogeneity of applications, mobile and cloud resources. Offload becomes even more complex when we take vulnerable nature of wireless communication into account. In our research, we formulated the offloading research problem in terms of contextual modelling of cloud, mobile, application and wireless network in terms of their parameters and then we discuss the feasibility of application partitioning and offloading by representing an application in the form of a graph. We use two application scenarios: ultra-high video coding and large-scale image retrieval.
Audio editing is performed at scale in the production of radio, but often the tools used are poorly targeted towards the task at hand. There are a number of audio analysis techniques that have the potential to aid radio producers, but without a detailed understanding of their process and requirements, it can be difficult to apply these methods. To aid this understanding, a study of radio production practice was conducted on three varied case studies – a news bulletin, drama and documentary. It examined the audio/metadata workflow, the roles and motivations of the producers and environmental factors.
Integration of the FreeEye browsing interface and design of the Sally Potter Archive at SP-ARK.org.
SP-ARK is an interactive online project based on the multi-media archive of film-maker Sally Potter.
A unique educational resource, SP-ARK is designed to enhance your access to, and knowledge of, film and filmmaking, whatever your interests.
By telling the story of a film by showing every aspect of the production –from the initial idea through screenwriting, budgeting and casting to the composition of an individual shot – SP-ARK invites you to become part of a new generation of film scholars and viewers who understand film inside out.
Here is the timed presentation of the knowledge transfer projects related to development of SP-ARK.org.
Intuitive interfaces have become increasingly important multimedia applications, from personal photo collection to professional management systems. This research brings a novel intuitive interactive interface for browsing of large image and video collections that visualizes underlying structure of the dataset by its size and spatial relations. In order to achieve this, images/frames are initially clustered using an unsupervised graph-based clustering algorithm. By selecting images in a hierarchical layout of the screen, user can intuitively navigate through the collection. The experimental results demonstrate a significant speed-up in a content search scenario compared to a standard browsing interface, as well as inherent intuitiveness of the system.
This project developed a real-time algorithm for scene change detection that analyses the statistics of the macroblock features extracted directly from the MPEG-2 stream. A method for extraction of the continuous frame difference that transforms the 3D video stream into a 1D curve is presented. This transform is then further employed to extract temporal units within the analysed video sequence.