Smoothing algorithms for clip-and-paste model-based video coding

Shu Sheng Hao; Ming Feng Lee; Jar Ferr Yang

doi:10.1109/30.793428

Smoothing algorithms for clip-and-paste model-based video coding

Shu Sheng Hao, Ming Feng Lee, Jar Ferr Yang

Institute of Computer and Communication Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Model-based video coding has been adopted as a core experiment in ISO MPEG-4 standard, The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust deformations of zoom, tilt, and rotation object images. Luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perceptions.

Original language	English
Pages (from-to)	427-435
Number of pages	9
Journal	IEEE Transactions on Consumer Electronics
Volume	45
Issue number	2
DOIs	https://doi.org/10.1109/30.793428
Publication status	Published - 1999

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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10.1109/30.793428

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title = "Smoothing algorithms for clip-and-paste model-based video coding",

abstract = "Model-based video coding has been adopted as a core experiment in ISO MPEG-4 standard, The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust deformations of zoom, tilt, and rotation object images. Luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perceptions.",

author = "Hao, {Shu Sheng} and Lee, {Ming Feng} and Yang, {Jar Ferr}",

note = "Funding Information: The authors arc with the Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan 701, Republic OT China (e-mail: jfyang@eembox.ncku.edu.tw). This research was supported by National Science Council under Grand #NSC86-2221-E006-026, Taiwan, Republic of China.",

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doi = "10.1109/30.793428",

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journal = "IEEE Transactions on Consumer Electronics",

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T1 - Smoothing algorithms for clip-and-paste model-based video coding

AU - Hao, Shu Sheng

AU - Lee, Ming Feng

AU - Yang, Jar Ferr

N1 - Funding Information: The authors arc with the Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan 701, Republic OT China (e-mail: jfyang@eembox.ncku.edu.tw). This research was supported by National Science Council under Grand #NSC86-2221-E006-026, Taiwan, Republic of China.

PY - 1999

Y1 - 1999

N2 - Model-based video coding has been adopted as a core experiment in ISO MPEG-4 standard, The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust deformations of zoom, tilt, and rotation object images. Luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perceptions.

AB - Model-based video coding has been adopted as a core experiment in ISO MPEG-4 standard, The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust deformations of zoom, tilt, and rotation object images. Luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perceptions.

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Smoothing algorithms for clip-and-paste model-based video coding

Abstract

All Science Journal Classification (ASJC) codes

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