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PHASE PCA FOR DYNAMIC TEXTURE VIDEO COMPRESSION Bernard Ghanem, Narendra Ahuja
 

Summary: PHASE PCA FOR DYNAMIC TEXTURE VIDEO COMPRESSION
Bernard Ghanem, Narendra Ahuja
Beckman Institute for Advanced Science and Technology
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Urbana, IL 61801, USA
{bghanem2, ahuja}@vision.ai.uiuc.edu
ABSTRACT
Temporal or dynamic textures (DT's) are video sequences
that are spatially repetitive and temporally stationary. DT's
are temporal analogs of the well known spatial still image
texture. Examples of DT's include moving water, foliage,
smoke, clouds, etc. We present a new DT model that can
efficiently compress DT sequences. Our proposed method
compactly represents the spatiotemporal properties of a DT
by modelling its varying Fourier phase content, which can be
shown to be the major determinant of both its dynamics and
appearance. This is possible because this method combines
both temporal and spatial properties in a compact spectral
framework. Making use of the benefits inherent to working in

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering