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This paper presents a real-time Kvazaar HEVC intra encoder for 4K Ultra HD video streaming. The encoder is implemented on Nokia AirFrame Cloud Server featuring a 2.4 GHz dual 14-core Intel Xeon processor and Arria 10 PCI Express FPGA accelerator card. In our HW/SW partitioning scheme, the data-intensive Kvazaar coding tools including intra prediction, DCT, inverse DCT, quantization, and inverse quantization...
Efficient and robust wireless video delivery is an enabling technology for various applications. The existing wireless video transmission scheme has the cliff effect and it cann't gracefully adapt to channel variations. In this paper, we introduce a pseudo-analog wireless video transmission improvements and design in the hardware. Comparing with the traditional transmission, the linear processing...
We present an extension for HEVC intra-frame coding with trapezoidal splits and orthogonal transforms. A block can be split into two 180-degrees rotationally-symmetric (C2) trapezoidal parts, each coded separately using standard DCT implementation. We also introduce part-to-part prediction from a diagonal edge. The optimal trapezoidal split of a quad tree block is selected in a rate-distortion sense...
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...
We consider the compression artifacts reduction problem, where a compressed image is transformed into an artifact-free image. Recent approaches for this problem typically train a one-to-one mapping using a per-pixel L_2 loss between the outputs and the ground-truths. We point out that these approaches used to produce overly smooth results, and PSNR doesnt reflect their real performance. In this paper,...
After deeply analyzing the standard of MPEG2 video encoding formats, proposing a MPEG2 video watermarking technology based DC coefficient. The binary image is treated as watermarking information after being dealt with the mixed method of Logistic chaotic map and error correction coding. Unlike the traditional watermarking algorithm, it is not necessary to decode all the video data, and to do inverse...
To improve the detection accuracy of SAD or SATD based threshold and save the time cost of RDO determination, we proposed an All Zero Block (AZB) detection method by adaptively searching the maximum transform coefficient amplitude in low frequency of TU after conventional SATD detection was failed. The experimental results show that our algorithm can achieve around 39% transform and quantization time-saving...
In conventional sparse representations based dictionary learning algorithms, initial dictionaries are generally assumed to be proper representatives of the system at hand. However, this may not be the case, especially in some systems restricted to random initialization. Therefore, a supposedly optimal state-update based on such an improper model might lead to undesired effects that will be conveyed...
High Efficiency Video Coding (HEVC) and VP9 are the latest state-of-the-art high-efficiency video coding standards. Both standards aim to decrease the bit-rate while improving the compression efficiency. HEVC/H.265 video standard was collaboratively developed by ITU-T and ISO/IEC with up to 50% bit-rate reduction as compared to its predecessor H.264/AVC. On the other hand, VP9 is an open source video...
Image compression is gaining good deal of attention and development nowadays. There are many uses and benefits incorporated with this application. Compressing an image will reduce its size to some amount that will enhance its storage or transmission over a network. In this paper, we proposed and compared two (Shift Coding) based techniques that we developed to gain the best compression ratios while...
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...
Picture compression could be a wide dynamic investigation space. In the present time, a few redesigns are made in compression systems and more advancements are imperative since the excitement for limit and transmission of visual data is perseveringly on an augmentation. This paper analyses compression utilizing visual redundancy and examines a couple of customary schemes used in picture compression,...
Watermarking the image files has recently become the focus of much attention. The transmission rate of the data over internet has played the major challenge that allows the illegal proliferation of the digital images. The difficulties in image watermarking relies on the desire to preserve the file quality and also the damaging of the files need to be prevented. This review on the different watermarking...
Video compression techniques play a vital role in storage and transmission of data through the limited bandwidth capability. This study proposes a compression method that can obtain a highest compression ratio and high quality for video compression. The proposed method consists of five phases. In the First phase, the main frames from the digital video through opening the header of video are split...
Residual coding is an effective way to enhance the coding performance in video coding. This paper proposed a new inter-layer residual coding method based on orthogonal matching pursuit (OMP) to obtain the sparse representation vectors as the transform coefficients. To achieve this purpose, a content adaptive dictionary is constructed in I frame based on the analysis of the coding unit complexity....
In contrast to still image analysis, motion information offers a powerful means to analyze video. In particular, motion trajectories determined from keypoints have become very popular in recent years for a variety of video analysis tasks, including search, retrieval and classification. Additionally, cloud-based analysis of media content has been gaining momentum, so efficient communication of salient...
In this paper, three sparse models for the human auditory system are proposed. Biological studies shows that the haircells in the inner ear of the auditory system generate sparse codes from the output of cochlea filterbank. Here, we employ two mathematical sparse representation methods, which are Orthogonal Matching Pursuit (OMP) and K Singular Value Decomposition (K-SVD), in three different strategies...
As the annoying blocking or ghost artifacts tend to appear in the conventional compression approaches either in the JPEG or JPEG2000 standards at low bitrate, the concept of the object-oriented image compression is proposed. This kind of methods is able to retain the image structural boundaries and therefore has relatively good visual qualities even in high compression ratios. In this paper, we propose...
The latest video coding standard introduced by the joint collaborative team on video coding (JCT-VC) is known as high-efficiency video coding (HEVC) or H.265. HEVC/H.265 is mainly targeted for high-definition videos, and offer more compression than its predecessor. The discrete cosine transform (DCT) is widely used for image and video compression including HEVC. This paper proposes a variablelength...
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...
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