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.
Interactive search and browsing interface for large-scale visual repositories.
Kan Ren, Risto Sarvas, Janko Calic.
Due to the rapid proliferation of both user-generated and broadcasted content, the interfaces for search and browsing of visual media have become increasingly important. This paper presents a novel intuitive interactive interface for browsing of large-scale image and video collections. It visualises underlying structure of the dataset by the size and spatial relations of displayed images. In order to achieve this, images or video key-frames are initially clustered using an unsupervised graph-based clustering algorithm. By selecting images that are hierarchically laid out on the screen, user can intuitively navigate through the collection or search for specific content. The extensive experimental results based on user evaluation of photo search, browsing and selection as well as interactive video search demonstrate good usability of the presented system and improvement when compared to the standard methods for interaction with large-scale image and video collections.
This work introduces a framework for video summarisation and browsing by utilising inherently hierarchical compressed-domain features of scalable video and efficient dynamic video summarisation. This approach enables instant adaptability of generated video summaries to available channel bandwidth as well as display resources. By utilising compressed domain features an efficient hierarchical analysis of motion activity at different layers of complexity is achieved. Exploiting a contour evolution algorithm, a scale space of temporal video descriptors is generated, enabling rapid video summarisation. Given the spatial resources of the terminal display and generated video summary, the final browsing layout is generated utilising an unsupervised robust spectral clustering technique and a fast discrete optimisation algorithm. Results show excellent scalability of the video summaries and good algorithm efficiency.