Scalable compressive video

V. Stankovic; L. Stankovic; S. Cheng

doi:10.1109/ICIP.2011.6116710

Scalable compressive video

V. Stankovic, L. Stankovic, S. Cheng

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 Citations (Scopus)

Abstract

The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final enhancement layer.

Original language	English
Title of host publication	Proceedings of the 18th IEEE International Conference on Image Processing (ICIP)
Place of Publication	New York
Publisher	IEEE
Pages	921-924
Number of pages	4
ISBN (Print)	9781457713040
DOIs	https://doi.org/10.1109/ICIP.2011.6116710
Publication status	Published - Sep 2011

Keywords

compressive imaging
scalable coding
compressive sampling
scalable compressive video
discrete cosine transforms
vectors
systematics
imaging
image reconstruction
image coding

Access to Document

10.1109/ICIP.2011.6116710

Link to publication in Scopus

1 Examination

External Examiner at The Computer Laboratory, Cambridge
Lina Stankovic (External Examiner)
28 Nov 2012
Activity: Examination types › Examination

Cite this

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title = "Scalable compressive video",

abstract = "The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final enhancement layer. ",

keywords = "compressive imaging, scalable coding, compressive sampling, scalable compressive video , discrete cosine transforms, vectors , systematics, imaging, image reconstruction , image coding ",

author = "V. Stankovic and L. Stankovic and S. Cheng",

year = "2011",

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language = "English",

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booktitle = "Proceedings of the 18th IEEE International Conference on Image Processing (ICIP)",

publisher = "IEEE",

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AU - Cheng, S.

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AB - The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final enhancement layer.

KW - compressive imaging

KW - scalable coding

KW - compressive sampling

KW - scalable compressive video

KW - discrete cosine transforms

KW - vectors

KW - systematics

KW - imaging

KW - image reconstruction

KW - image coding

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U2 - 10.1109/ICIP.2011.6116710

DO - 10.1109/ICIP.2011.6116710

M3 - Conference contribution book

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SP - 921

EP - 924

BT - Proceedings of the 18th IEEE International Conference on Image Processing (ICIP)

PB - IEEE

CY - New York

ER -

Scalable compressive video

Abstract

Keywords

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Activities

External Examiner at The Computer Laboratory, Cambridge

Cite this