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Author

Yoo Jae Sin

Bio: Yoo Jae Sin is an academic researcher. The author has contributed to research in topics: Motion compensation & Codec. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Papers
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Patent
18 Nov 2004
TL;DR: In this paper, a moving image coding method is provided to extract hidden data when necessary after hiding the data in a multimedia moving image using a video CODEC, without increasing an amount of encoded data and a change of picture quality, consequently original data is unnecessary when extracting the hidden data.
Abstract: PURPOSE: A moving image coding method is provided to extract hidden data when necessary after hiding the data in a multimedia moving image using a video CODEC, without increasing an amount of encoded data and a change of picture quality, consequently original data is unnecessary when extracting the hidden data CONSTITUTION: A system extracts a motion vector through a motion compensation and a motion prediction with regards to an inputted image, performs a DCT process for a difference image, and sets initial quantization parameters The system carries out a data hiding process in the quantization parameters, and changes the parameters to recognize whether the data is hidden The system performs a quantization by using the changed parameters The system changes a level value of each block in DCT block units, and hides the data

1 citations


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Patent
03 Jan 2008
TL;DR: In this article, an apparatus for predicting an initial QP(Quantization Parameter) value for image coding is presented. But the method is not suitable for image restoration, as it is computationally computationally expensive.
Abstract: A method and an apparatus for predicting an initial QP(Quantization Parameter) value for image coding are provided to enhance the quality of a restored image by accurately predicting an initial QP value of an input image for reaching target bit rate based on the characteristic value. A time/space predicting unit(41) generates a predicted image of an input image. A subtractor(42) generates a residue image by subtracting the generated predicted image from the input image. A converting unit(43) converts the generated residue image from a color space to a frequency space. An initial QP value predicting unit(44) predicts an initial Q P value of the input image corresponding to a target bit rate based on at least one characteristic value of the input image. A quantization unit(46) quantizes the conversion result by using the predicted initial QP value. An entropy coding unit(47) codes the quantization result.

1 citations