Intra-coding Mode Research Articles

Prediction With Multicross Component for Future Video Coding

There has been a consensus of cross-component prediction in video compression that the interchannel redundancies can be effectively removed through a linear prediction model. To fully explore the similarities existing in different color components, we propose prediction with multicross component (PMC) as a new chroma intracoding mode for the emerging video coding standard AVS3. The proposed PMC enjoys extremely low operational complexity and high flexibility, which advocates to reuse and reform the linear prediction model of conventional two-step cross-component prediction mode. Moreover, dual-prediction patterns of PMC are exploited to enhance the prediction efficiency. Experimental results on AVS3 test model HPM-6.0 show that PMC brings 0.32%, 1.60%, and 2.39% BD-rate savings for Y, Cb, and Cr components, respectively, under all intraconfiguration with natural-scene videos. Moreover, 0.91%, 2.24%, and 2.82% BD-rate gains can be observed on screen-content videos. Subset modes of PMC have been adopted by AVS3.

Coding structure of JMVDC along saliency mapping: a prespective compression technique

SummarySummarizing of multi‐see video and penetrating information depicts an augmentation of the high‐performance video coding (HPVC) criterion. Multi‐see recordings taken by numerous cameras of the same scene from various positions and edges progress towards becoming feasible since little estimated and less value cameras are accessible. Multi‐see video enables the customers to unreservedly change their viewpoints whenever they need to see the scene from any position. For profundity coding, new intracoding modes, an altered movement pay, and movement vector coding and also the idea of movement parameter legacy are a piece of the HPVC expansion. A novel encoder control utilizes see blend improvement, which ensures that amazing middle of the road perspectives can be produced in view of the decoded information. The bit stream arrange bolsters the extraction of halfway piece streams, with the goal that traditional latest video standards like 2D, stereo, multi‐see in addition to profundity organization can be de‐transmit from a solitary piece stream. We proposed a novel saliency detection technique for stereoscopic pictures, which depends on local‐global differentiation highlights, trailed by encompassing district improvement and stereo focus earlier upgrade and furthermore we have proposed an algorithm that effectively chooses a near‐optimalinterview PS and related texture and profundity QPs, at GOP level, when the MVD information organize is utilized for IMVS frameworks. Objective and subjective outcomes are introduced, exhibiting that the proposed approach gives half piece rate investment funds in correlation with JMVDC simulcast and 22% in examination with a direct multi‐see expansion of JMVDC without the recently created coding instruments.

S-EMG Signal Compression in One-Dimensional and Two-Dimensional Approaches.

This paper presents algorithms designed for one-dimensional (1-D) and 2-D surface electromyographic (S-EMG) signal compression. The 1-D approach is a wavelet transform based encoder applied to isometric and dynamic S-EMG signals. An adaptive estimation of the spectral shape is used to carry out dynamic bit allocation for vector quantization of transformed coefficients. Thus, an entropy coding is applied to minimize redundancy in quantized coefficient vector and to pack the data. In the 2-D approach algorithm, the isometric or dynamic S-EMG signal is properly segmented and arranged to build a 2-D representation. The high efficient video codec is used to encode the signal, using 16-bit-depth precision, all possible coding/prediction unit sizes, and all intra-coding modes. The encoders are evaluated with objective metrics, and a real signal data bank is used. Furthermore, performance comparisons are also shown in this paper, where the proposed methods have outperformed other efficient encoders reported in the literature.

Bit-plane-based lossless depth-map coding

This work proposes an efficient bit-plane-based lossless depth-map coding method for an MPEG 3-D video coding scheme. This method uses the distinctive image characteristics between bit planes of the depth map. In the simulations, the performances of the proposed coding method are compared with those of the conventional lossless coding methods, i.e., JPEG-LS, JPEG-2000, and H.264/AVC, in terms of the intra- and also intercoding modes. In intracoding mode, the proposed method achieves the highest compression ratios as 14.28:1 on average. JPEG-LS, JPEG2000, H.264/AVC (CAVLC), and H.264/AVC (CABAC) obtain the compression ratios as 9.74:1, 7.68:1, 9.13:1, and 10.97:1, respectively. In intercoding mode, the proposed method also accomplishes the highest compression ratios as 28.91:1 on average. However, H.264/AVC (CAVLC) and H.264/AVC (CABAC) obtain the compression ratios as 19.82:1 and 23.45:1, respectively.

Selective intra-prediction Skip Algorithm for inter-frame coding in H.264/AVC

Inter-frame coding using inter- and intra-predictions plays an important role in achieving high compression efficiency in H.264/AVC. However, most intra-predictions are unnecessary, since the intra-coding mode occupies less than 5% of the overall coding in inter-frame coding. In this paper, we propose an intra mode skip algorithm for inter-frame coding in H.264/AVC as a means of obtaining fast intra mode decision. The algorithm uses the joint entropy (JE) and mutual information (MI) to extract the temporal correlations between the current block and the reconstructed block based on 8 × 8 motion estimation. All or part of the intra-prediction search is omitted by using JE and MI. Experimental results show that the proposed algorithm is capable of reducing the overall coding time by 15-37% and the overall intra-prediction time by 32-78% compared to full search of the reference software, with negligible loss of quality.

New Adaptive Algorithms for GOP Size Control with Return Channel Suppression in Wyner-Ziv Video Coding

We present novel algorithms for adaptive GOP size control in distributed Wyner-Ziv video coding, where an H.264 video codec is used for intracoding of key frames. The proposed algorithms rely on theoretical calculations to estimate the bit rate necessary for the successful decoding of Wyner-Ziv frames without the need for a feedback channel, which makes the system suitable for broadcasting applications. Additionally, in regions where H.264 intracoding outperforms Wyner-Ziv coding, the system automatically switches to intracoding mode in order to improve the overall performance. Simulations results show a significant gain in the average PSNR that can reach 3 dB compared to pure H.264 intracoding, and 0.8 dB compared to fixed-GOP Wyner-Ziv coding.

Coefficient‐based adaptive transform coding scheme

AbstractA coefficient‐based, adaptive, orthogonal transform coding scheme is proposed to enhance the performance of interframe DPCM/orthogonal transform coding which has currently become the mainstream coding method in use for video signals. In this proposed scheme, the widely used block‐based inter‐ and intracoding modes are supplemented by introducing a new coding mode, the “mixed mode,” that has the characteristic of optimally controlling prediction and quantization on an orthogonal transform coefficient basis. Based on a statistical model of the video signal, it is shown that the prediction coefficients and quantizer of the proposed scheme can be theoretically optimized. Results from computer simulations on real images show that in terms of an objective evaluation measure (weighted signal‐to‐noise ratio) that reflects properties of the human visual system, that a performance gain of 4.6 dB over the H.261 standard is obtained and 3.4 dB gain over MPEG is obtained. From the perspective of subjective evaluations, it is shown that it is possible to greatly reduce block noise, of course, in exchange for some resolution degradation from mosquito noise.