Extended papers from NPAR 2010: Stylized ambient displays of digital media collections

  • Authors:

  • Tinghuai Wang;John Collomosse;Rui Hu;David Slatter;Darryl Greig;Phil Cheatle

  • Affiliations:

  • Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Centre for Vision, Speech and Signal Processing, University of Surrey, UK;Multimedia Interaction and Understanding Lab, Hewlett-Packard Labs, Bristol, UK;Multimedia Interaction and Understanding Lab, Hewlett-Packard Labs, Bristol, UK;Multimedia Interaction and Understanding Lab, Hewlett-Packard Labs, Bristol, UK

  • Venue:
  • Computers and Graphics
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

The falling cost of digital cameras and camcorders has encouraged the creation of massive collections of personal digital media. However, once captured, this media is infrequently accessed and often lies dormant on users' PCs. We present a system to breathe life into home digital media collections, drawing upon artistic stylization to create a ''Digital Ambient Display'' that automatically selects, stylizes and transitions between digital contents in a semantically meaningful sequence. We present a novel algorithm based on multi-label graph cut for segmenting video into temporally coherent region maps. These maps are used to both stylize video into cartoons and paintings, and measure visual similarity between frames for smooth sequence transitions. The system automatically structures the media collection into a hierarchical representation based on visual content and semantics. Graph optimization is applied to adaptively sequence content for display in a coarse-to-fine manner, driven by user attention level (detected in real-time by a webcam). Our system is deployed on embedded hardware in the form of a compact digital photo frame. We demonstrate coherent segmentation and stylization over a variety of home videos and photos. We evaluate our media sequencing algorithm via a small-scale user study, indicating that our adaptive display conveys a more compelling media consumption experience than simple linear ''slide-shows''.