Title

Spatio-temporal regularity flow (SPREF): Its estimation and applications

Authors

Authors

O. Alatas; P. K. Yan;M. Shah

Comments

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Abbreviated Journal Title

IEEE Trans. Circuits Syst. Video Technol.

Keywords

cross-sectional; parallelism; regularity modeling; spatio-temporal; feature; video compression; video inpainting; VIDEO COMPRESSION; MOTION; Engineering, Electrical & Electronic

Abstract

Feature selection and extraction is a key operation in video analysis for achieving a higher level of abstraction. In this paper, we introduce a general framework to extract a new spatio-temporal feature that represents the directions in which a video is regular, i.e., the pixel appearances change the least. We propose to model the directions of regular variations with a 3-D vector field, which is referred to as spatio-temporal regularity-flow (SPREF). SPREF vectors are designed to have three cross-sectional parallel components F-x, F-y, and F-t for convenient use in different applications. They are estimated using all the frames simultaneously by minimizing an energy functional formulated according to its definition. In this paper, we first introduce translational SPREF (T-SPREF) and then extend our framework to affine SPREF (A-SPREF). The successful use of SPREF in a few applications, including object removal, video inpainting, and video compression, is also demonstrated.

Journal Title

Ieee Transactions on Circuits and Systems for Video Technology

Volume

17

Issue/Number

5

Publication Date

1-1-2007

Document Type

Article

Language

English

First Page

584

Last Page

589

WOS Identifier

WOS:000246192100007

ISSN

1051-8215

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