The concept of drift compensation has been proposed to alleviate the propagation of visual distortions between successive video frames, which exists as a result of embedding watermarks in the compressed domain without...
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The concept of drift compensation has been proposed to alleviate the propagation of visual distortions between successive video frames, which exists as a result of embedding watermarks in the compressed domain without re-performing motion prediction. By viewing the drift compensation data as watermark signals with inverse polarity, we propose to enhance the blind watermark retrieval of drift-compensated watermarked MPEG video by appropriately de-spreading the drift compensation data and adding the resultant correlation output to the usual watermark correlation sum. In our experiments, spread spectrum watermarks with additive and multiplicative embedding for MPEG video are used. The results show that the proposed technique is indeed capable of improving the reliability of the estimated watermark for different videos compressed at different bit rates. The proposed idea is expected to be applicable to any image and video compression formats with predictive coding, including MPEG-1, MPEG-2, MPEG-4, H.261, or H.263.
We present a new algorithm for lossless compression of bilevel images. The algorithm represents the image to be compressed with a sequential logic function and then, minimizes it to obtain a more compact representatio...
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We present a new algorithm for lossless compression of bilevel images. The algorithm represents the image to be compressed with a sequential logic function and then, minimizes it to obtain a more compact representation. As the minimization of Boolean functions requires a high computational cost, our algorithm represents them with ordered binary-decision diagrams (OBDD), which can be simplified with a low computational cost. Once the OBDD of the sequential logic function has been obtained and reduced, it is coded efficiently in order to reduce the redundancy present on it. Arithmetic coding is also used to remove even more the residual redundancy. The results obtained show significant improvements with respect to previous works.
In this paper, we investigate into a new lossless compression framework for video. We are to exploit fuller scale of temporal redundancy, and propose an adaptive optimal compression plane (OCP) determination process t...
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In this paper, we investigate into a new lossless compression framework for video. We are to exploit fuller scale of temporal redundancy, and propose an adaptive optimal compression plane (OCP) determination process to be used with the standard intra-frame lossless predictive coding scheme. The essence of the scheme is to perform the prediction on the plane formed by two axes (among X, Y and T) corresponding to signal correlation evaluation, which enables better prediction (therefore better compression). In spite of the simplicity of the proposed method, simulation results show that the rate saving of the resultant system is 27.0% on average with respect to JPEG-LS, for a large number of videos with different visual content.
H.264/AVC is a novel video coding standard that provides better coding efficiency than previous video coding standards. It adopts many predictive coding algorithms to improve the coding efficiency of intra and inter f...
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H.264/AVC is a novel video coding standard that provides better coding efficiency than previous video coding standards. It adopts many predictive coding algorithms to improve the coding efficiency of intra and inter frames. Due to its characteristics of high compressibility, it can achieve high quality at low bit rate. Therefore, more and more applications adopt H.264/AVC codec. Nowadays, a great deal of researches has focused on copyright protection and digital authentication for H.264/AVC codec. In this paper, we propose a video watermarking scheme for H.264/AVC. Since our scheme only requires little extra computation, it can be easily implemented in encoder to perform real-time computation. As for bit rate increasing and degression of perceptual quality, the proposed scheme can control them within a fine degree. Simulation results demonstrate the performance of the proposed scheme.
We present a novel concept, vector restoration, for motion compensated predictive coding of video. Conventional predictive coders generate predictions of the input signal and encode the residual signal. Here, the pred...
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We present a novel concept, vector restoration, for motion compensated predictive coding of video. Conventional predictive coders generate predictions of the input signal and encode the residual signal. Here, the predicted images are operated upon directly with the goal of restoring the original images at the decoder. The predicted images are processed in a piecewise manner using restoration functions chosen from a codebook. Compression is achieved by transmitting only an index of the chosen restoration function for each image region. We describe the manner in which the restoration functions are generated and chosen. Vector restoration is shown to outperform residual vector quantization and transform-based coders. This superiority is due to vector restoration's ability to adaptively exploit the non-trivial correlation between the predicted and residual images.
This paper develops error concealment methods for multiple description video coding (MDC) in order to adapt to error prone packet networks. The three-loop slice group MDC approach of D. Wang et al. (2005) is used. MDC...
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This paper develops error concealment methods for multiple description video coding (MDC) in order to adapt to error prone packet networks. The three-loop slice group MDC approach of D. Wang et al. (2005) is used. MDC is very suitable for multiple channel environments, and especially able to maintain acceptable quality when some of these channels fail completely, i.e. in an on-off MDC environment, without experiencing any drifting problem. Our MDC scheme coupled with the proposed concealment approaches proved to be suitable not only for the on-off MDC environment case (data from one channel fully lost), but also for the case where only some packets are lost from one or both channels. Copying video and using motion vectors from correct descriptions are combined together for concealment prior to applying traditional methods. Results are compared to the traditional error concealment method proposed in the H.264 reference software, showing significant improvements for both the balanced and unbalanced channel cases.
The authors describe a low-complexity coding technique that combines multipulse and stochastic excitation. The system, known as hybrid multipulse coding (HMC), provides good quality at 4.8 and 7.2 kb/s. HMC uses effic...
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The authors describe a low-complexity coding technique that combines multipulse and stochastic excitation. The system, known as hybrid multipulse coding (HMC), provides good quality at 4.8 and 7.2 kb/s. HMC uses efficient pulse excitation for voiced speech and stochastic excitation for unvoiced speech. For the best speech quality, HMC uses an optimization algorithm for simultaneous solution of pitch predictor and excitation parameters, producing a higher signal-to-noise ratio than CELP (code-excited linear prediction) in the 4.8-kb/s configuration. At 7.2 kb/sec, CELP and HMC give diagnostic acceptability measure (DAM) scores close enough so that their standard error limits overlap. In all configurations, HMC requires from 5 to 14 times fewer multiply/accumulate operations than CELP for similarly sized codebooks.< >
In motion-compensated video-coding schemes, such as MPEG, an I frame is normally followed by several P frames and possibly B frames in a group-of-picture (GOP). In error-prone environments, errors happening in the pre...
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ISBN:
(纸本)0780388348
In motion-compensated video-coding schemes, such as MPEG, an I frame is normally followed by several P frames and possibly B frames in a group-of-picture (GOP). In error-prone environments, errors happening in the previous frames in a GOP may propagate to all the following frames until the next I frame, which is the beginning of the next GOP. In this paper, we propose a novel GOP structure for robust transmission of MPEG video bitstream. By selecting the optimal position of the I frame in a GOP, robustness can be achieved without reducing any coding efficiency. Experimental results demonstrate the robustness of the proposed GOP structure.
In this paper, we propose an autoregressive stochastic generative model for images. This model should be one of the most basic models for the new type of lossless image compression which explicitly assume the stochast...
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ISBN:
(数字)9784885523304
ISBN:
(纸本)9781728128559
In this paper, we propose an autoregressive stochastic generative model for images. This model should be one of the most basic models for the new type of lossless image compression which explicitly assume the stochastic generative model. We can easily expand it and theoretically interpret the implicitly assumed stochastic generative models in the various previous predictive coding methods as the expanded versions of our model. Moreover, we can utilize the achievements in the related fields where the linear regression analysis and its expansion are studied to construct the Bayes codes for these generative models. As an example, we expand our generative model from the one with normal noise to the one with the t-distributed noise. Then, we construct the sub-optimal Bayes codes for this generative model by utilizing the variational Bayesian method.
predictive coding methods such as DPCM used for lossless coding of images or motion compensated hybrid video coders of the MPEG family are shown to compress the input signal well with a reasonable complexity. The perf...
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predictive coding methods such as DPCM used for lossless coding of images or motion compensated hybrid video coders of the MPEG family are shown to compress the input signal well with a reasonable complexity. The performance of these coders, however, degrades considerably when the transmission channel is not error-free. This is due to the error propagation at the decoder where a single error can have catastrophic consequences. A low-rate feedback channel is shown to improve the overall performance. We consider two such methods, provide an analysis of these methods and investigate their different trade-offs.
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