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Graph-based models have recently attracted attention for their potential to enhance transform coding image compression thanks to their capability to efficiently represent discontinuities. Graph transform gets closer to the optimal KLT by using weights that represent inter-pixel correlations but the extra cost to provide such weights can overwhelm the gain, especially in the case of natural images...
Distributed video coding is the promising solution for emerging applications such as wireless video surveillance, wireless video sensor networks that have not been supported by traditional video coding standards. Success of distributed video coding is based on exploiting the source statistics at the decoder with availability of some side information. The better the quality of side information, the...
The accuracy of end-to-end distortion (EED) estimation is crucial to achieving effective error resilient video coding. An established solution, the recursive optimal per-pixel estimate (ROPE), does so by tracking the first and second moments of decoder-reconstructed pixels. An alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), tracks instead moments...
Demand for screen content videos that contain computer generated text and graphics is growing. They are very different from natural videos, because they include much sharper edge transitions and very repetitive patterns. On this type of material, the efficacy of the conventional discrete cosine transform (DCT) is questionable because it relies on the assumption that a Gauss-Markov model leads to a...
Discrete Cosine Transform (DCT) has been the commonly used transform for a few decades in image/video coding. However, DCT does not work well on the blocks having anisotropic correlations. In this paper, based on the adaptive dictionary, we propose a new online transform scheme using Orthogonal Matching Pursuit (OMP) for High Efficiency Video Coding (HEVC). For a coding block, we construct its dictionary...
In a distributed video coding problem, use of a correct model for the correlation noise plays a significant role in improving the decoding performance and consequently in providing higher coding efficiency. In this work, we first study the predictive and additive correlation noise models at the DCT coefficient band level for transform-domain distributed video coding. Then, bounds on compression rates...
The emerging High-Efficiency Video Coding (HEVC) standard has introduced a number of new coding tools, such as a quad-tree based coding unit (CU). The quadtree-structured coding unit achieves significant coding efficiency improvements compared to H264/AVC. However, the complexity of CU depth decision associated with Rate-Distortion (R-D) cost computation dramatically increased. In order to alleviate...
A hybrid ECG compression technique based on DWT and reducing the correlation between signal samples and beats has been presented in this paper. It starts by segmenting the ECG signal into blocks; each has 1024 samples. Then, DPCM approach is adopted by removing the redundancy between successive samples. So, residual signal of QRS-complex like waveform without the presence of P-, T- and U-waves is...
This paper presents a simple yet effective algorithm for compressing human motion capture (mocap) data. With a reordering-based discrete wavelet transform and the standard discrete cosine transform, our method can effectively reduce the spatial and temporal correlation in mocap data. Our method is conceptually simple and easy to implement. Experimental results show that our method can achieve better...
A new scheme is proposed which uses the features of Discrete Cosine Transform (DCT) for the embedding of the watermark coefficients and uses a pseudo-random sequence for selection of the DCT coefficients to embed the watermark. These coefficients are different in different watermarked images so there is no chance of collusion of the watermarked images to detect the watermark illegally. The scheme...
In this paper, we propose a rate distortion optimization based content adaptive transform method for motion compensation residuals. The proposed method utilizes pixel rearrangement to dynamically adjust the transform kernels to adapt to the residual content. Comparing with the traditional adaptive transforms, the highlight of this work is that it obtains the transform kernels from the decoded block,...
The hybrid transform coding scheme that alternates amongst the asymmetric discrete sine transform (ADST) and the discrete cosine transform (DCT) depending on the boundary prediction conditions, is an efficient tool for video and image compression. It optimally exploits the statistical characteristics of prediction residual, thereby achieving significant coding performance gains over the conventional...
Intra prediction coding is mainly to eliminate the correlation of the spatial domain. Firstly the article introduces the traditional intra prediction algorithm. And then according to the correlation between the most likely patterns and best mode, It draws a pattern matrix. By the advantage of this mode matrix for early termination, it can improve the efficiency of intra prediction 9%–15% in the condition...
Multiple videos such as those collected using monitoring and surveillance applications generate large amounts of data. Significant reduction in data-rates are achievable if frames in these video sequences are jointly compressed. This paper describes a compression algorithm that can jointly, pair-wise compress two (or more) video frames by creating one video frame and a difference frame. The difference...
Differential energy watermarking considers the properties that adjacent image blocks have similar energy in the transform domain and it is not sensitive for human system to the characteristics of high frequency, by adjusting the transform domain coefficients to achieve the purpose of watermark. This paper presents a differential energy watermarking method based on macro-block prediction. This method...
High Efficiency Video Coding (HEVC) is an in-progress next generation video coding standard. It has a similar basic structure to the ITU/MPEG H.264/AVC coder but with further enhancement on each coding tool to increase compression efficiency. Thus, a Residual Quadtree (RQT) coding scheme is adopted in the conventional transform coding procedure. The cost is the additional computation complexity when...
Current video coding techniques use a Discrete Cosine Transform (DCT) to reduce spatial correlations within the motion estimation residual. Often the correlation cannot be completely eliminated leaving the transform coefficients statistically dependent. The presented paper proposes a method to predict these coefficients on a block level by using the distribution of the prediction error variance to...
Error resilient video coding critically relies on the accuracy of end-to-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion...
In this paper, we derive separable KLTs for coding H.264/AVC intra prediction residuals, using a simple image correlation model. Our analysis shows that for some intra prediction modes, we can in fact just use the DCT for performing either the row-wise or column-wise transform. Furthermore, we also compute the KLT that should be used based on the image correlation model, which happens to have sinosuidal...
Inspired by Witsenhausen and Wyner's 1980 (now expired) patent on “interframe coder for video signals”, this paper presents a Witsenhausen-Wyner video codec, where the previously decoded video frame is used at the decoder as side information for joint decoding. Specifically, we replace the predictive Inter coding in H.264/AVC by the syndrome-based coding scheme of Wistenhausen and Wyner, while keeping...
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