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High Efficiency Video Coding (HEVC) employs the complex rate-distortion optimization (RDO) to choose the optimal mode decison which leads to the drastical increase of computation complexity. In order to solve the problem, this paper proposed a new RD estimation method for HEVC intra mode decision that uses transformed coefficients to do the rate-distortion optimization. For the rate part, the method...
The Discrete Cosine Transform (DCT), and in particular the DCT type II, has been widely used for image and video compression. Although DCT efficiently approximates the optimal Karhunen–Loève transform under first-order Markov conditions with low complexity, the energy packing efficiency is still limited since a fixed transform cannot always capture the highly dynamic statistics of natural video content...
In traditional image and video coding schemes, separable transforms are typically employed due to their low-complexity implementations. However, the compression efficiency of separable transforms is limited for most natural image/video blocks which generally have arbitrarily directed edge and texture patterns. It is well known that non-separable transforms can achieve better compression efficiency...
We present a novel edge adaptive depth map coding based on lifting on graphs. The transform is localized, of low complexity, and guarantees perfect reconstruction as long as a proper predict-update split is defined. During the transform process, data in the prediction set are predicted by data in the update set; the prediction errors are then stored for encoding. In order to reduce the energy of the...
To fully exploit the capabilities of satellite-borne multi/-hyperspectral sensors, some form of image compression is required. The Gelli-Poggi coder [1], based on segmentation and class-based transform coding, has a very competitive performance, but requires some a-priori knowledge which is not available on-board. In this paper we propose a new version of the Gelli-Poggi coder which is fully unsupervised,...
In this paper we propose novel strategies for reducing the practical limitations of the Singular Value Decomposition (SVD) for image compression. First, the computational cost is reduced by computing only a limited number of eigenvectors. Second, an online Adaptive Vector Quantization (AVQ) method is used to achieve a low bit rate. Simulation results show that the proposed algorithm is better than...
In Distributed Video Coding (DVC) the encoder compresses frames at source rates that rely on the statistical dependency involving the Wyner-Ziv (WZ) and side information frames. A significant issue that individuals address in this paper provides the encoder with a mechanism to spot the origin rate to be found in encoding a WZ frame. One possible solution is to check out a feedback approach; the encoder...
Traditionally, a 2-D block-based transform is always implemented through two separate 1-D transforms along each block's vertical and horizontal dimensions. Such a framework is however not highly suitable for a directional 2-D source in which the dominant directional information is neither horizontal nor vertical. On the other hand, the R-D performance upper bound for all block-based transform coding...
In this paper, we propose a method for down-sized decoding of H.264/AVC with low decoding complexity. The method extracts the DC values of blocks in reconstructed pictures without full decoding. The DC values are divided by 4 to make the down-sized pictures of reconstructed frames. For intra-coded blocks, the intra prediction mode of a block and DC values of neighboring blocks are used to obtain DC...
Without changing the features of the integer DCT transform radix, improve on its matrix filling rules and get a new type of integer DCT transform radix. Other than orthogonality, such a variety of integer DCT transform radix also meet the quantity relationships between elements of an integer as a matrix, and the normalized coefficients matrix have similar characteristic with the original DCT matrix...
The basic idea of the video data mining is based on the content of multimedia features and the semantics related to these properties, from large multimedia data sets and analysis of the underlying discovery, effective, valuable, and understandable patterns. In this paper, based on multi-encoding mode for real-time trans-coding of video streams we firstly research on the input data reuse pattern matching...
Communication between end to end is facilitated by the recent development in the area of wired and wireless networks. The end to end devices like mobiles, handheld and palm size PC's have limited capability for computation, display capacity and bandwidth. This augment, for ways for communicating large data files like video, in highly compressed and acceptable quality over the limited available bandwidth...
In order to further improve the performance of rate control in H.264, a pixel-level rate control algorithm for the optimal prediction residual is proposed. Firstly, this proposed algorithm determines whether discrete cosine transform (DCT) should be applied to the macro block according to the simple rate distortion optimization (RDO) mode. Then quantization parameter (QP) is determined through a new...
Wyner-Ziv video coding (WZC) exhibits many properties like low-complexity encoding or embedded error resilience. The quality of side information takes an important role in the performance of WZC. In order to improve the performance of WZC, a new side information interpolation algorithm is proposed in this paper. In our approach, adjacent frames are recombined before encoding. At the decoder, side...
In this paper, a frame level rate control algorithm is proposed with a novel Rate-Quantization (R-Q) model for H.264/AVC. Firstly, a two-stage rate control scheme is adopted to decouple the inter-dependency between Rate Distortion Optimization (RDO) and rate control. Secondly, in order to predict the frame complexity accurately, instead of the Mean Absolute Difference (MAD) of the residual signal,...
As a serious concern of information security, steganography provides a covert communication channel for cyber-terrorism and cyber-crime. The widespread use enables MP3 compressed audio to become an excellent carrier for audio steganography on the Internet. Since embedding capacity is an important measure to evaluate the performance of steganographic systems, and embedding ratio is commonly used when...
In typical distributed video coding, Distributed Video Coding (DVC) the side information (SI) estimation plays a significant role in DVC. Within the SI estimation there is well be co-existing regions where estimation is successful. In this work introducing SKIP mode to encode these regions is proposed, the obtained results show a significant improvement in RD performance.
Distributed video coding (DVC) has recently been proposed to reduce the complexity of the encoder, whereas it suffers from the sampling cost of huge amount of image data. To relax such sampling burden, this paper develops a novel sub-sampling distributed video coding (SuDVC) by utilizing compressive sensing (CS) technique. Due to the inherent sparsity in video sources, the video frames are compressively...
In most Wyner-Ziv video coding approaches, the temporal correlation of key frames is not exploited, since they are simply intra encoded and decoded. In previous work, by using the previously decoded key frames as the side information, we proposed to divide the frequency bands of each block into two classes. Wyner-Ziv coding was used for the low frequency bands of each block, while high frequency bands...
In this paper, we propose a fast mode decision algorithm for intra and inter prediction for H.264/AVC video coding. Here the subband decomposition of the input video is done for the fast mode prediction. To the LL band of the subband decomposition of the video, exhaustive intra prediction is done. To the LH, HL and HH bands selective intra prediction modes are used for the intra prediction. For the...
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