Compressed video enhancement algorithm

Chun Jen Tsai; Passant Karunaratne; Nikolas P. Galatsanos; Aggelos K Katsaggelos

Compressed video enhancement algorithm

Chun Jen Tsai^*, Passant Karunaratne, Nikolas P. Galatsanos, Aggelos K Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

13 Scopus citations

Abstract

The problem of the enhancement of a low bit-rate compressed video sequence using the information provided by the encoder is investigated in this paper. The proposed algorithm is spatio-temporally adaptive and enforces different degrees of between-block, within-block, and temporal smoothness of the decompressed frames based on macroblock types. The algorithm uses the projections onto the sets that capture the information conveyed by the transmitted data to constrain the solution space. A partially automatic regularization parameter estimation algorithm is also proposed in this paper. An analysis of PSNR gain per macroblock type is presented to cast insight into the compressed video enhancement problem. The experimental results demonstrate the effectiveness of the proposed approach.

Original language	English (US)
Title of host publication	IEEE International Conference on Image Processing
Publisher	IEEE
Pages	454-458
Number of pages	5
Volume	3
State	Published - Dec 1 1999
Event	International Conference on Image Processing (ICIP'99) - Kobe, Jpn Duration: Oct 24 1999 → Oct 28 1999

Other

Other	International Conference on Image Processing (ICIP'99)
City	Kobe, Jpn
Period	10/24/99 → 10/28/99

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering

Cite this

@inproceedings{dd821e6f461a43188fe5bac8418edcbc,

title = "Compressed video enhancement algorithm",

abstract = "The problem of the enhancement of a low bit-rate compressed video sequence using the information provided by the encoder is investigated in this paper. The proposed algorithm is spatio-temporally adaptive and enforces different degrees of between-block, within-block, and temporal smoothness of the decompressed frames based on macroblock types. The algorithm uses the projections onto the sets that capture the information conveyed by the transmitted data to constrain the solution space. A partially automatic regularization parameter estimation algorithm is also proposed in this paper. An analysis of PSNR gain per macroblock type is presented to cast insight into the compressed video enhancement problem. The experimental results demonstrate the effectiveness of the proposed approach.",

author = "Tsai, {Chun Jen} and Passant Karunaratne and Galatsanos, {Nikolas P.} and Katsaggelos, {Aggelos K}",

year = "1999",

month = dec,

day = "1",

language = "English (US)",

volume = "3",

pages = "454--458",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE",

note = "International Conference on Image Processing (ICIP'99) ; Conference date: 24-10-1999 Through 28-10-1999",

}

TY - GEN

T1 - Compressed video enhancement algorithm

AU - Tsai, Chun Jen

AU - Karunaratne, Passant

AU - Galatsanos, Nikolas P.

AU - Katsaggelos, Aggelos K

PY - 1999/12/1

Y1 - 1999/12/1

N2 - The problem of the enhancement of a low bit-rate compressed video sequence using the information provided by the encoder is investigated in this paper. The proposed algorithm is spatio-temporally adaptive and enforces different degrees of between-block, within-block, and temporal smoothness of the decompressed frames based on macroblock types. The algorithm uses the projections onto the sets that capture the information conveyed by the transmitted data to constrain the solution space. A partially automatic regularization parameter estimation algorithm is also proposed in this paper. An analysis of PSNR gain per macroblock type is presented to cast insight into the compressed video enhancement problem. The experimental results demonstrate the effectiveness of the proposed approach.

AB - The problem of the enhancement of a low bit-rate compressed video sequence using the information provided by the encoder is investigated in this paper. The proposed algorithm is spatio-temporally adaptive and enforces different degrees of between-block, within-block, and temporal smoothness of the decompressed frames based on macroblock types. The algorithm uses the projections onto the sets that capture the information conveyed by the transmitted data to constrain the solution space. A partially automatic regularization parameter estimation algorithm is also proposed in this paper. An analysis of PSNR gain per macroblock type is presented to cast insight into the compressed video enhancement problem. The experimental results demonstrate the effectiveness of the proposed approach.

UR - http://www.scopus.com/inward/record.url?scp=0033307902&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033307902&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033307902

VL - 3

SP - 454

EP - 458

BT - IEEE International Conference on Image Processing

PB - IEEE

T2 - International Conference on Image Processing (ICIP'99)

Y2 - 24 October 1999 through 28 October 1999

ER -

Compressed video enhancement algorithm

Abstract

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ASJC Scopus subject areas

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