Motion compensation as sparsity-aware decoding in compressive video streaming

Author

Liu, Ying ; Li, Ming ; Gao, Kanke ; Pados, Dimitris A.

Author_Institution

Dept. of Electr. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA

fYear

2011

fDate

6-8 July 2011

Firstpage

1

Lastpage

5

Abstract

We consider a video transmission system where the transmitter performs merely direct compressive sensing with no other forms of encoding/processing and the burden of quality video sequence reconstruction falls solely on the receiver side. We show that effective implicit motion compensation can be carried out at the receiver/decoder via iterative sparsity-aware recovery on adaptively forward-backward estimated Karhunen-Loève bases. Experiments illustrate these developments.

Keywords

data communication; decoding; motion compensation; video coding; video streaming; adaptively forward-backward estimated Karhunen-Loeve bases; compressive video streaming; iterative sparsity-aware recovery; motion compensation; quality video sequence reconstruction; sparsity-aware decoding; video transmission system; Decoding; Discrete cosine transforms; Encoding; Image coding; Image reconstruction; Iterative decoding; Streaming media; Compressive sampling; compressed sensing; motion compensation; sparse representation; video codecs; video streaming;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2011 17th International Conference on

Conference_Location

Corfu

ISSN

Pending

Print_ISBN

978-1-4577-0273-0

Type

conf

DOI

10.1109/ICDSP.2011.6005006

Filename

6005006