Abstract:
We present a video CODEC framework which exploits extrinsic scene knowledge to condition a perspective motion model. An approximate textural-geometric model of the scene ...Show MoreMetadata
Abstract:
We present a video CODEC framework which exploits extrinsic scene knowledge to condition a perspective motion model. An approximate textural-geometric model of the scene is prepared prior to coding. During coding, the locations of planar surfaces in the scene are tracked, facilitating the computation of accurate perspective motion warp parameters. These algorithms are integrated with H.264 into a hybrid CODEC framework, achieving savings of up to 48% for equivalent visual quality.
Published in: 2013 IEEE International Conference on Image Processing
Date of Conference: 15-18 September 2013
Date Added to IEEE Xplore: 13 February 2014
Electronic ISBN:978-1-4799-2341-0