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Article using a combination of mathematical and statistical methods to establish the predictive coding model of all-zero block threshold under different cost function with different quantization parameter. Use this threshold model presented an all-zero block detection algorithm based on quantization parameters. Experiments show that the cost function using the established model of all-zero block threshold...
Video streaming is very important in both wired and wireless communications. Switching among streams of different bit-rates and/or views is always necessary in related applications. The techniques of SP/SI frames in H.264/AVC have been developed to facilitate bit-stream switching without causing drift errors. However, the frames that are allowed for switching have to be determined in advance so real-time...
The paper describes a reconciliation procedure for physical key generation based on specially designed LDPC codes using Slepian-Wolf-type coding. The LDPC codes are optimized for intrinsic information with two different noise variances within the same codeword.
In this work, a perceptual quality-regulable H.264 video encoder system has been developed. Exploiting the relationship between the reconstructed macro block and its best predicted macro block from mode decision, a novel quantization parameter prediction method is built and used to regulate the video quality according to a target perceptual quality. An automatic quality refinement scheme is also developed...
A novel scalable video coding (SVC) scheme is proposed for video transmission over loss networks, which builds on an estimation-theoretic (ET) framework for optimal prediction and error concealment, given all available information from both the current base layer and prior enhancement layer frames. It incorporates a recursive end-to-end distortion estimation technique, namely, the \imp{spectral coefficient-wise...
Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing the complexity. In this paper, a distributed Compressed...
There is a need for video encoders to generate bit streams of quality that matches human evaluation. This is often achieved by adopting perceptual quality metrics in video encoders. A huge body of work has been devoted to the development of perceptual video quality metrics that take the properties of human visual system into account. It is our interest in this paper to study how the existing video...
Off-line scanning, coding, transmission and remote animation of the human affect represents a possible processing pipeline for providing 3D immersion in virtual worlds. In this paper we target applications that make use of compact and scalable 3D representations of human affect and require close control over the local error introduced by lossy coding of the mesh geometry. To satisfy this requirement,...
Biometric discretization converts biometric features into a binary string via a feature space quantization and a subsequent encoding process. The classification accuracy of the discretized features can be improved by weighting the features according to their discrimination power through a bit allocation process in such a way that more bits are allocated to more discriminative features and vice versa...
High Efficiency Video Coding (HEVC) is jointly developed by the Joint Collaborative Team on Video Coding (JCT-VC) of the ISO/IEC Motion Picture Experts Group (MPEG) and the ITU-T Video Coding Experts Group (VCEG). At the present time, HEVC development is at its finalizing stages and achieving a 50% bit-rate reduction as compared to that of the current H.264/AVC video coding standard. Significant increase...
Multiple description coding (MDC) can be applied for multipath communication to reduce the negative affect of packet loss, and it is composed of three processes: encoding, quantizing, and decoding. Encoding and decoding are well researched in MDC, but there are few researches that focus on the quantization process. Therefore, this paper focuses on the quantization process of MDC. The aim of this paper...
In general, quality of compressed videos for screen contents is not as good as those for natural videos with the conventional video compression standards due to different properties of textures. In this paper, we present an adaptive quantization method on high efficiency video codec (HEVC) in order to improve coding gain for screen contents. The proposed method adaptively enables quantization either...
Efficient learning with non-linear kernels is often based on extracting features from the data that “linearise” the kernel. While most constructions aim at obtaining low-dimensional and dense features, in this work we explore high-dimensional and sparse ones. We give a method to compute sparse features for arbitrary kernels, re-deriving as a special case a popular map for the intersection kernel and...
In this paper, we propose a new rate control (RC) algorithm for hierarchical video coding of high efficiency video coding (HEVC). To achieve a constant target bitrate transmission, an effective bit allocation method is first introduced, which assigns the number of target bits to each intra-period, group of picture, and frame by considering the hierarchical structure. A quantization parameter (QP)...
The joint coding of texture videos and depth maps plays a practical importance in three dimensional (3D) video system. Besides coding efficiency, the strategy of bit allocation between texture videos and depth maps is key issue. The paper firstly analyses the impacts on the quality of virtual views from the joint coding of texture videos and depth maps. Then the paper explores the relationship and...
An intra-only video coding algorithm based on a so called node-cell pixel coding structure has been proposed for high definition video by the authors. This novel coding structure divides pixels within one macro-block into node and cell pixels. The node pixels are first encoded using DCT, quantization, and entropy coding. The cell pixels are then interpolated using the reconstructed node pixels, and...
In the video lossy compression, quantitative parameter (QP) has a great influence on compression efficiency and image quality. This paper proposes a QP prediction scheme, which use artificial neural network (ANN) model combining with H.264 rate-distortion mode. Experiments pick five main parameters that affect QP most, and then establish a multilayer error feed-forward neural network to output QP...
Despite efforts to increase access to broadband Internet services nationally and globally, a large number of households remains connected using lower bandwidth connections. At the same time, however, a connected household's demands for data services (including the typical triple-play services) increases continuously. One of the main drivers in the triple-play service domain is Video-on-Demand (VoD)...
In this paper, we first employ rate-distortion (R-D) modeling to derive the source model for H.264 video coding. This source model consists of the distortion-quantization (D-Q) model and distortion-rate (D-R) model, which describe the relationship between rate, distortion and quantization step for generalized Gaussian distribution (GGD) under the quantization scheme of H.264/AVC. The accuracy of the...
This paper presents analytical rate and distortion models to estimate the rate-distortion (R-D) behavior of different coding modes for H.264/SVC coarse grain scalability (CGS) by jointly considering the effects of quantization, motion-compensated prediction, and motion partitioning structures. Based on the forward channel model and two statistical signal models, we first derive a pair of mode-dependent...
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