Fast analysis of scalable video for adaptive browsing interfaces

Scalable video for adaptive interfaces

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.