Title

Video Compression Using Spatiotemporal Regularity Flow

Keywords

Image and video multi-resolution processing (2-MRP); Wavelet based video coding (1-COD-WAVV)

Abstract

We propose a new framework in wavelet video coding to improve the compression rate by exploiting the spatiotemporal regularity of the data. A sequence of images creates a spatiotemporal volume. This volume is said to be regular along the directions in which the pixels vary the least, hence the entropy is the lowest. The wavelet decomposition of regularized data results in a fewer number of significant coefficients, thus yielding a higher compression rate. The directions of regularity of an image sequence depend on both its motion content and spatial structure. We propose the representation of these directions by a 3-D vector field, which we refer to as the spatiotemporal regularity flow (SPREF). SPREF uses splines to approximate the directions of regularity. The compactness of the spline representation results in a low storage overhead for SPREF, which is a desired property in compression applications. Once SPREF directions are known, they can be converted into actual paths along which the data is regular. Directional decomposition of the data along these paths can be further improved by using a special class of wavelet basis called the 3-D orthonormal bandelet basis. SPREF -based video compression not only removes the temporal redundancy, but it also compensates for the spatial redundancy. Our experiments on several standard video sequences demonstrate that the proposed method results in higher compression rates as compared to the standard wavelet based compression. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

IEEE Transactions on Image Processing

Volume

15

Issue

12

Number of Pages

3812-3823

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TIP.2006.884930

Socpus ID

33751369689 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33751369689

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