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Phase PCA for dynamic texture video compression
Bernard Ghanem
,
Narendra Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Computer Science
Experimental Evidence
100%
Frequency Domain
100%
MPEG
100%
Video Sequences
100%
temporal property
100%
Spatial Property
100%
Dynamical System
100%
Video Compression
100%
Keyphrases
Video Compression
100%
Dynamic Texture
100%
Video Textures
100%
Image Texture
11%
Complex Varieties
11%
Compress
11%
Major Determinants
11%
Fourier Phase
11%
Complex Sequences
11%
Still Images
11%
Phase Content
11%
Spatial Properties
11%
MPEG-2
11%
Video Sequences
11%
Foliage
11%
Linear Dynamical Systems
11%
Smoke Cloud
11%
Spatio-temporal Property
11%
Temporal Properties
11%
Dynamic Texture Model
11%
Representational Models
11%
Temporal Texture
11%
Temporal Analogue
11%
Texture Compression
11%
Texture Sequence
11%
Mathematics
Frequency Domain
100%
Linear Dynamical Systems
100%
MPEG
100%
Principal Component Analysis
100%
Engineering
Frequency Domain
100%
Smoke
100%
MPEG
100%
Moving Water
100%