Presence: Teleoperators and Virtual Environments
Video personalization in resource-constrained multimedia environments
Proceedings of the 15th international conference on Multimedia
Note: Focal length and registration correction for building panorama from photographs
Computer Vision and Image Understanding
Client-centered multimedia content adaptation
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks
Computer Vision and Image Understanding
Video anatomy: cutting video volume for profile
MM '11 Proceedings of the 19th ACM international conference on Multimedia
State of the Art Report on Video-Based Graphics and Video Visualization
Computer Graphics Forum
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In this paper we describe a method for analysing video sequences and for representing them as mosaics or panoramas. Previous work on video mosaicking essentially concentrated on static scenes. We generalize these approaches to the case of a rotating camera observing both static and moving objects where the static portions of the scene are not necessarily dominant, as it has been often hypothesized in the past. We start by describing a robust technique for accurately aligning a large number of video frames under unknown camera rotations and camera settings. The alignment technique combines a feature-based method (initialization and refinement) with rough motion segmentation followed by a colour-based direct method (final adjustment). This precise frame-to-frame alignment allows the dynamic building of a background representation as well as an efficient segmentation of each image such that moving regions of arbitrary shape and size are aligned with the static background. Thus a motion panorama visualizes both dynamic and static scene elements in a geometrically consistent way. Extensive experiments applied to archived videos of track-and-field events validate the approach. Copyright © 2004 John Wiley & Sons, Ltd.