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With the significant increase of the network heterogeneity and the wide use of emerging video applications such as wireless sensor networks, video surveillance systems or remote sensing, the Distributed Scalable Video Coding (DSVC) is a potential solution for efficiently transmitting and storing video data due to its high compression efficiency and low encoding complexity capabilities. In DSVC framework,...
This paper presents two intra prediction algorithms in High Efficiency Video Coding (HEVC) encoder for reducing the computational complexity and increase the encoding speed. The first algorithm takes advantage of the high spatial correlation among neighboring pixels to substitute the reference samples as the first row or first and second rows of the current block to be predicted, while the pixels...
In this paper, an investigation of multiview video coding schemes is presented, based on different inter-view prediction structures and various group of pictures (GOP) sizes. The studied inter-view prediction schemes in this paper are: A new approach namely “PIP”, recently proposed (PBI), and the benchmark structure (MVC). Results of the conducted tests allow to order the studied inter-view structures...
In-loop filters are widely employed in video coding standards to improve coding efficiency by reducing quantization noise. However, only local spatial correlation of video frames is exploited in existing in-loop filters, which limits the improvement of video coding efficiency. In this paper, a higher order transform domain filter (HOTDF) is proposed to further reduce quantization noise. The filter...
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then we mainly develop three technologies to optimize the 2-D coding structure...
Conventional pixel-domain block matching temporal (inter) prediction is suboptimal, since it ignores the underlying spatial correlation. Hence in our recent research we proposed transform domain temporal prediction (TDTP), wherein spatially decorrelated transform coefficients are individually predicted. Later we proposed extended block TDTP (EB-TDTP), which fully exploits spatial correlation around...
High Efficiency Video Coding (HEVC) is one of the latest released video standards and offers up to 40% bitrate savings when compared to the widespread H.264/AVC standard, at the cost of a substantial complexity growth. Constraining the complexity of HEVC encoding is a challenging task for embedded applications based on a software encoder. The most frequent approach to solve this problem is to optimise...
Rate control plays a key role in video coding, which has a significant effect on encoder performance. With parallel video coding frameworks more and more popular, rate control suitable for parallel coding is highly desired. However, most rate control algorithms only focus on the rate distortion performance but ignoring the data correlation in parallel coding. In this paper, based on the parallel framework...
In free viewpoint video (FVV) framework, a large number of viewpoints from limited number of views are generated to reduce the amount of transmitting, receiving and processing video data significantly. To generate a virtual view, the disparity among adjacent views or temporal correlation between different frames of the intermediate views are normally exploited. Those techniques may concern poor rendering...
In this paper we are interested in establishing a pretreatment for existing metrics without reference (MSU Blocking Metric) for the H.264/MPEG-4 (Motion Picture Expert Group) AVC (Advanced Video Coding) standard. We perform a pretreatment using HARRIS saliency map to improve the performance of this metric. We evaluate the performance of the proposed pretreatment by using subjective “LIVE” video databases...
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...
Compressed Sensing(CS) based video coding techniques are low-complexity in general, but with marginal compression results. Also, wireless multimedia devices have serious resource constraints, with fluctuations in bandwidth(for up-link traffic) and available power. In this paper we propose a nested technique in which CS data is further compressed within the CS domain to give far better compression...
In addition to the texture, multiview video employs the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not...
Depth maps are becoming increasingly important in the context of emerging video coding and processing applications. Depth images represent the scene surface and are characterized by areas of smoothly varying grey levels separated by sharp edges at the position of object boundaries. To enable high quality view rendering at the receiver side, preservation of these characteristics is important. Lossless...
This paper reports the details and results of a subjective and objective quality evaluation assessing responses to an MPEG call for evidence (CfE) on high dynamic range (HDR) and wide color gamut video coding. Five HDR video contents, compressed at four bit rates by each proponent responding to the CfE, were used in the subjective assessments. To be able to evaluate the performance of objective quality...
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...
A non-predictive video coding is a new branch of emerging research area in video coding, where the motion estimation/compensation or prediction step in the temporal domain is omitted. One direction was to look for the exploitation of temporal decomposition of video frames. The proposed method consists on 3D to 2D transformation of the temporal frames that allows exploring the temporal redundancy of...
Motivated by the correlation channel modeling problem in practical applications, such as distributed video coding, we study the binary source coding of a uniform source with side information, under asymmetric correlation channel assumptions. First, we consider the case where side information is available to both the encoder and decoder, and give an analytical formula for the rate-distortion bound...
In this paper, an extensive study of different video texture properties based on encoding statistics extracted from the HEVC HM reference software is presented. Mode selection, partitioning, motion vectors and bitrate allocation are among the statistics obtained from the encoder. For this study, a new dataset of homogeneous static and dynamic video textures, HomTex, is proposed. A comprehensive investigation...
As a 3D video extension of Audio Video Coding Standard (AVS), 3D-AVS is being developed to improve the coding efficiency of multi-view video. Since multi-view video is composed of projections of the same scenery from different viewpoints at the same time instant, it contains a large amount of inter-view redundancies. To exploit the inter-view correlation, this paper presents a method to derive the...
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