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In recent years, most of the research about distributed video coding focus on how to get the exact side-information and virtual channel estimation parameters in order to achieve better rate-distortion performance. However, there is quite few research about the practical transmission issue, i.e., no practical and effective transmission scheme has been proposed yet for distributed video coding (DVC)...
Recently, parametric models of predicting video subjective quality by exploiting packet layer or bit stream layer information at decoder side has achieved significant progress. In contrast, there are few works on estimating subjective quality in the stage of video encoding, partially because of limited and outdated dataset. In this paper, we contribute a new 4K video dataset with full subjective scores...
Many modern video encoders use the Lagrangian rate-distortion optimization (RDO) algorithm for mode decisions during the compression procedure. This paper proposes to increase the accuracy of inter picture prediction in H.265, by computing a non-integer number of bits for arithmetic coding of the syntax elements. During the RDO process the distortion and bit rate of each mode has to be estimated and...
A novel modification is introduced in this paper for the belief propagation decoder of polar codes, wherein adjacent two processing stages are efficiently combined together to speed up decoding. Corresponding path based belief estimation method is presented in detail. The proposed decoder halves the number of stages of the conventional decoder and thus can significantly reduce the decoding latency...
This paper presents a rapid method for predicting the best type of Sample Adaptive Offset (SAO) in the HEVC video encoder. The main idea of this work is to utilize the available motion vector and frame characteristics, and to reuse the information given by the reference picture and the neighboring blocks to accelerate the SAO decision while keeping good coding efficiency.
Golomb-Rice coding is one of the popular variable-length codings which require quantization of input data to meet the target compression ratio. In order to obtain the optimal quantization level, a conventional iterative approach increases the quantization level one by one until the target ratio is achieved. This iterative approach makes it difficult to implement in hard ware because the number of...
In video compression, one needs a highly efficient motion estimation algorithm in terms of processing speed. A novel block matching algorithm for motion estimation in a video frame sequence well suited for a high performance VLSI implementation is presented in this project. The algorithm is up to 40% faster when compared to one of the fastest existing algorithms, viz., one-at-a-time step search algorithm...
Underwater navigation that relies solely on dead reckoning suffers from unbounded position error growth. In traditional positioning method, the cost and trouble of deploying, recovering, and assembly have become insuperable obstacle. Based on combination SLBL with an Argo float, a new positioning method of autonomous navigation is proposed in the paper. In order to improve the ranging accuracy, with...
The challenge to H.265/HEVC multiview video coding (MVC) is its extremely high computational complexity. This paper presents the development and implementation of a scalable massively parallel fast search algorithm to significantly reduce the computational cost of motion and disparity estimation over the current best available GPU full block matching and sub optimal CPU fast search algorithms by a...
The efficiency of a Golomb code depends on how well its coding parameter reflects the input data to be compressed. Typically, such a coding parameter is estimated from the entire dataset. We propose a fast processing method, which estimates the coding parameter based on a very sparse sampling of the dataset. Simulations on both synthetic data and hyperspectral image data showed that the fast method...
Parametric models have been widely used to estimate conditional intensity functions of neuronal spike train point processes and are efficient to construct from experimental data. Furthermore, parametric models are easy to interpret. However, neurons that have more complex receptive fields may not be sufficiently characterized through parametric modeling since it imposes strict structure on the encoding...
In this paper we discuss a method, which we call Minimum Conditional Description Length (MCDL), for estimating the parameters of a subset of sites within a Markov random field. We assume that the edges are known for the entire graph G = (V, E). Then, for a subset U ⊂ V, we estimate the parameters for nodes in U as well as for edges incident to a node in U, by finding the exponential parameter for...
Complex motion in video sequences, such as rotation and scaling, conventionally approximated translationally, can more efficiently be represented by higher order motion models. An important contribution to the efficiency of the higher order motion compensation approach is the prediction and encoding of the additional motion parameters. The additional data rate caused by an increased amount of motion...
In this paper we show that a small amount of bit stream features can be used to accurately estimate the energy consumption of state-of-the-art software and hardware accelerated decoder implementations for four different video codecs. By testing the estimation performance on HEVC, H.264, H.263, and VP9 we show that the proposed model can be used for any hybrid video codec. We test our approach on a...
In High Efficiency Video Coding (HEVC), SKIP mode is an efficient inter prediction tool with high coding performance but low complexity. In this paper, an early SKIP mode decision algorithm is proposed to accelerate the encoding process. The rate-distortion cost (RD-cost) of SKIP mode is used as the decision criterion. A nonparametric density estimation scheme is employed to partition the SKIP RD-cost...
Fringe projection profilometry (FPP) is a popular method for accurate 3D model reconstruction. In a typical FPP process, a tedious phase unwrapping procedure is often needed to obtain the true phase information of the captured fringe images. However, conventional phase unwrapping algorithms often suffer from the ambiguity problems when the scene contains occlusions or sudden jumps in object's height...
The Intra Block Copy (IntraBC) mode is a very efficient coding tool for the screen content coding (SCC) extension in High Efficiency Video Coding (HEVC) due to the frequently occurrences of repeating patterns and noiseless characteristics of screen content videos. There are local search and hash search for the IntraBC mode to increase coding efficiency. However, the IntraBC mode also brings along...
We present a novel method to recover images of faces, particularly when large spatial regions of the face are unavailable due to data losses or occlusions. In contrast with previous work, we do not make assumptions on the data neither during training nor testing (such as assuming that the person was seen before or that all faces are perfectly aligned and have identical head pose, expression, etc.)...
Apparent age estimation from face image has attracted more and more attentions as it is favorable in some real-world applications. In this work, we propose an end-to-end learning approach for robust apparent age estimation, named by us AgeNet. Specifically, we address the apparent age estimation problem by fusing two kinds of models, i.e., real-value based regression models and Gaussian label distribution...
This paper considers a sequential estimation and sensor scheduling problem with one sensor and one estimator. The sensor makes sequential observations about the state of an underlying memoryless stochastic process, and makes a decision as to whether or not to send this measurement to the estimator. The sensor and the estimator have the common objective of minimizing expected distortion in the estimation...
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