The Experts below are selected from a list of 966 Experts worldwide ranked by ideXlab platform
Mathias Wien - One of the best experts on this subject based on the ideXlab platform.
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variable block size transforms for h 264 avc
IEEE Transactions on Circuits and Systems for Video Technology, 2003Co-Authors: Mathias WienAbstract:A concept for variable block-size transform coding is presented. It is called adaptive block-size transforms (ABT) and was proposed for coding of high resolution and Interlaced Video in the emerging Video coding standard H.264/AVC. The basic idea of inter ABT is to align the block size used for transform coding of the prediction error to the block size used for motion compensation. Intra ABT employs variable block-size prediction and transforms for encoding. With ABT, the maximum feasible signal length is exploited for transform coding. Simulation results reveal a performance increase up to 12% overall rate savings and 0.9 dB in peak signal-to-noise ratio.
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Variable block-size transforms for H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology, 2003Co-Authors: Mathias WienAbstract:A concept for variable block-size transform coding is presented. It is called adaptive block-size transforms (ABT) and was proposed for coding of high resolution and Interlaced Video in the emerging Video coding standard H.264/AVC. The basic idea of inter ABT is to align the block size used for transform coding of the prediction error to the block size used for motion compensation. Intra ABT employs variable block-size prediction and transforms for encoding. With ABT, the maximum feasible signal length is exploited for transform coding. Simulation results reveal a performance increase up to 12% overall rate savings and 0.9 dB in peak signal-to-noise ratio.
Dimitris Anastassiou - One of the best experts on this subject based on the ideXlab platform.
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Interlaced Video coding with field-based multiresolution representation
Signal Processing: Image Communication, 1993Co-Authors: Dimitris AnastassiouAbstract:Abstract This paper presents the Video coding technique proposed by Columbia University for the second phase of ISO's MPEG standardization effort (MPEG-2) for coding at bit-rates up to 10 Mbit/s. The technique is a direct extension of the coding algorithm used for MPEG-1, suitable for Interlaced Video by allowing macroblock-by-macroblock adaptive field-based or frame-based coding. Separate coding of the odd and even fields is allowed as an option, so that fields of one parity use information from the already coded fields of the opposite parity. This option has near-optimum performance, and also conveniently provides scalability (in the sense of multiresolution representation), useful for achieving graceful degradation in the presence of transmission errors. It also permits easy modification for compatibility with MPEG-1. Another feature includes escape to a non-DCT coding technique for blocks containing sharp edges. Based on both subjective and objective evaluations, extensive computer simulations have been conducted to optimize the criteria of using various modes.
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High-quality coding of the even fields based on the odd fields of Interlaced Video sequences
IEEE Transactions on Circuits and Systems, 1991Co-Authors: F.-m. Wang, Dimitris AnastassiouAbstract:A high-quality and high-compression technique is presented for coding the even fields of digital Interlaced Video, assuming that the odd fields have already been coded. It may be useful in the second phase of a currently proposed scheme (MPEG) for Video coding when aiming at a total bit rate of about 5 Mb/s, as well as for Interlaced digital HDTV coding, including possible terrestrial and satellite all-digital transmission applications. The fields are coded with a digitally assisted hybrid multimode predictive/interpolative technique, using both predictive (hence recursive) and interpolative modes of operation. A compatible HDTV coding scheme based on the proposed technique is also outlined. >
K E Barner - One of the best experts on this subject based on the ideXlab platform.
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fast adaptive fuzzy post filtering for coding artifacts removal in Interlaced Video
International Conference on Acoustics Speech and Signal Processing, 2005Co-Authors: Yao Nie, Haosong Kong, Anthony Vetro, Huifang Sun, K E BarnerAbstract:The paper presents a new method using fuzzy filtering to remove the coding artifacts in compressed Video. The method takes the Interlaced Video format into consideration and processes each field separately. For deblocking, a 1D fuzzy filter with different window sizes is used to remove the horizontal and vertical blocking artifacts respectively. For deringing, each 8/spl times/8 block in a field is first classified into one of the four categories, i.e., strong edge, weak edge, texture and smooth blocks. According to each block's type and the neighboring block's type, the spread parameter of a 2D fuzzy filter is adaptively decided and the filter is applied To speed up the process, the fuzzy filter weights are generated using a piecewise linear membership function instead of the conventional Gaussian function. Experimental results show that the proposed method has better detail preservation and lower computational costs than our previous method. It achieves comparable deblocking and superior deringing performance to the MPEG-4 standard method at similar computation costs.
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ICASSP (2) - Fast adaptive fuzzy post-filtering for coding artifacts removal in Interlaced Video
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics Speech and Signal Processing 2005., 2005Co-Authors: Haosong Kong, Anthony Vetro, K E BarnerAbstract:The paper presents a new method using fuzzy filtering to remove the coding artifacts in compressed Video. The method takes the Interlaced Video format into consideration and processes each field separately. For deblocking, a 1D fuzzy filter with different window sizes is used to remove the horizontal and vertical blocking artifacts respectively. For deringing, each 8/spl times/8 block in a field is first classified into one of the four categories, i.e., strong edge, weak edge, texture and smooth blocks. According to each block's type and the neighboring block's type, the spread parameter of a 2D fuzzy filter is adaptively decided and the filter is applied To speed up the process, the fuzzy filter weights are generated using a piecewise linear membership function instead of the conventional Gaussian function. Experimental results show that the proposed method has better detail preservation and lower computational costs than our previous method. It achieves comparable deblocking and superior deringing performance to the MPEG-4 standard method at similar computation costs.
Heungkyu Lee - One of the best experts on this subject based on the ideXlab platform.
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Open Access Screenshot identification by analysis of directional inequality of Interlaced Video
2013Co-Authors: Jiwon Lee, Minjeong Lee, Hae-yeoun Lee, Heungkyu LeeAbstract:As screenshots of copyrighted Video content are spreading through the Internet without any regulation, cases of copyright infringement have been observed. Further, it is difficult to use existing forensic techniques for determining whether or not a given image was captured from a screen. Thus, we propose a screenshot identification scheme using the trace of screen capture. Since most television systems and camcorders use Interlaced scanning, many screenshots are taken from Interlaced Videos. Consequently, these screenshots contain the trace of Interlaced Videos, combing artifacts. In this study, we identify a screenshot using the characteristics of combing artifacts that appear to be shaped like horizontal jagged noise and can be found around the edges. To identify a screenshot, the edge areas are extracted using the gray level co-occurrence matrix (GLCM). Then, the amount of combing artifacts is calculated in the extracted edge areas by using the similarity ratio (SR), the ratio of the horizontal noise to the vertical noise. By analyzing the directional inequality of noise components, the proposed scheme identifies the source of an input image. In the experiments conducted, the identification accuracy is measured in various environments. The results prove that the proposed identification scheme is stable and performs well
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Screenshot identification by analysis of directional inequality of Interlaced Video
EURASIP Journal on Image and Video Processing, 2012Co-Authors: Jiwon Lee, Minjeong Lee, Hae-yeoun Lee, Heungkyu LeeAbstract:As screenshots of copyrighted Video content are spreading through the Internet without any regulation, cases of copyright infringement have been observed. Further, it is difficult to use existing forensic techniques for determining whether or not a given image was captured from a screen. Thus, we propose a screenshot identification scheme using the trace of screen capture. Since most television systems and camcorders use Interlaced scanning, many screenshots are taken from Interlaced Videos. Consequently, these screenshots contain the trace of Interlaced Videos, combing artifacts. In this study, we identify a screenshot using the characteristics of combing artifacts that appear to be shaped like horizontal jagged noise and can be found around the edges. To identify a screenshot, the edge areas are extracted using the gray level co-occurrence matrix (GLCM). Then, the amount of combing artifacts is calculated in the extracted edge areas by using the similarity ratio (SR), the ratio of the horizontal noise to the vertical noise. By analyzing the directional inequality of noise components, the proposed scheme identifies the source of an input image. In the experiments conducted, the identification accuracy is measured in various environments. The results prove that the proposed identification scheme is stable and performs well.
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screenshot identification using combing artifact from Interlaced Video
ACM workshop on Multimedia and security, 2010Co-Authors: Jiwon Lee, Minjeong Lee, Seungjin Ryu, Heungkyu LeeAbstract:As screenshots of copyrighted Video contents are spreading through the Internet without any regulation, the copyright infringement arises gradually. However, there are still no techniques that prevent illegal screenshots from spreading out. Since most television systems use Interlaced scanning mode and camcorders offer Interlaced recording, many screenshots are Interlaced. In this paper, we propose a screenshot identification scheme using unique characteristic of Interlaced Video, combing artifact. To do this, several blocks of the input image are selected for the significant combing artifact they have. In each block, eight features that represent the artifact are extracted. These extracted features are applied to train and test support vector machine for identifying whether the input image is a screenshot or not. In the experiments, the identification accuracy is measured when the input image is converted from and to common multimedia formats. The results prove that the proposed identification scheme performs well under the widely used image formats as JPEG, BMP, TIFF and Video formats as MPEG-2, MPEG-4, H.264.
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MM&Sec - Screenshot identification using combing artifact from Interlaced Video
Proceedings of the 12th ACM workshop on Multimedia and security - MM&Sec '10, 2010Co-Authors: Jiwon Lee, Minjeong Lee, Seungjin Ryu, Heungkyu LeeAbstract:As screenshots of copyrighted Video contents are spreading through the Internet without any regulation, the copyright infringement arises gradually. However, there are still no techniques that prevent illegal screenshots from spreading out. Since most television systems use Interlaced scanning mode and camcorders offer Interlaced recording, many screenshots are Interlaced. In this paper, we propose a screenshot identification scheme using unique characteristic of Interlaced Video, combing artifact. To do this, several blocks of the input image are selected for the significant combing artifact they have. In each block, eight features that represent the artifact are extracted. These extracted features are applied to train and test support vector machine for identifying whether the input image is a screenshot or not. In the experiments, the identification accuracy is measured when the input image is converted from and to common multimedia formats. The results prove that the proposed identification scheme performs well under the widely used image formats as JPEG, BMP, TIFF and Video formats as MPEG-2, MPEG-4, H.264.
M. Ibrahim Sezan - One of the best experts on this subject based on the ideXlab platform.
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A new motion-compensated reduced-order model Kalman filter for space-varying restoration of progressive and Interlaced Video
IEEE Transactions on Image Processing, 1998Co-Authors: Andrew J. Patti, A. Murat Tekalp, M. Ibrahim SezanAbstract:We propose a new approach for motion-compensated, reduced order model Kalman filtering for restoration of progressive and Interlaced Video. In the case of Interlaced inputs, the proposed filter also performs deinterlacing. In contrast to the literature, both motion-compensation and reduced-order state modeling are achieved by augmenting the observation equation, as opposed to modifying the state-transition equation. The proposed modeling, which includes the two-dimensional (2-D) reduced order model Kalman filtering (ROMKF) of Angwin and Kaufman as a special case, results in significant performance improvement in fixed-lag Kalman filtering of space-varying blurred images. This is demonstrated by experimental results.
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Robust methods for high-quality stills from Interlaced Video in the presence of dominant motion
IEEE Transactions on Circuits and Systems for Video Technology, 1997Co-Authors: Andrew J. Patti, M. Ibrahim Sezan, A.m. TekalpAbstract:We present robust algorithms which combine global motion compensation and motion adaption for deinterlacing in the presence of both dominant motion, such as camera zoom, pan, or jitter, and local motion, such as object motion. The dominant motion is modeled by a global affine warping and estimated by a gradient-based estimation method. Two alternative algorithms are proposed for compensation of the dominant motion: a bilinear interpolation based on the affine model, and a projections onto convex sets (POCS) based method that takes into account blurring in the image formation. It is important to note that the latter must be used if the blurring is severe enough to act as an anti-alias filter, which imposes an irreversible limit on the resolution improvement ability of any motion-compensated filter. Global motion-compensated images are then input to a motion-adaptive filter to detect and correct for those pixels where there exists local motion. A dynamic thresholding for motion detection is presented, with weighted directional-filtering for regions where motion is detected, to obtain the best results. Experimental results with application to obtaining high quality stills from Video camcorders demonstrate the effectiveness of the proposed methods.