A NEW VIDEO CODING APPROACH TO THE FUTURE WIRELESS COMMUNICATION SYSTEM

- The current environment of video systems is heterogeneous due to the variety of the devices used in the display such as HD and diversity of data transfer rate from one client to another, which leads to diversity in the resolution of the video for each client. The heterogeneous network systems increase the storage of video ﬁles, although that the H.265 reduces the rate of data about to half as compared to H.264, but it stores as the multiple video resolutions of one video on the system in the heterogeneous system to satisfy different consumer characteristics and is delivered exploitation broadcast coding. H.265 is used as a multi-layer encoding to provide a different video resolution, which is increased the complexity of encoding system and time. The paper solves such problems by proposing a new technology for encoding,which depends on scalable core video technique in order to save a bit rate and improve the quality. The complexity of the encoding system and time is reduced by prediction the upper layers of video resolution from the lower layer in new technology. The results present that the proposed technique is better than H.265 transcoding, the rate of data transfer which has reduced (about 47%) in HD as compared to the H.265, while the PSNR has increased (about 3dB) in the same type of resolution. Furthermore, the processing time is decreased to 14% as compared to H.265.The complexity is reduced to 25% as compared to H.265.


I. INTRODUCTION
Last years, the service of video consumption in high resolution was increased (such as UHD and 8K), which it distributes over the broadcast channels, computer networks, or storage media.Such associate rising trend creates a much bigger demand on the event of video acquisition, compression, and show technologies, also as of network and transmission media capabilities.The foremost crucial requirements arise during a video compression domain, where it's necessary to satisfy the need for a very economical video coding commonplace [1].H.265 was estimated to decrease the rate of the bit compared to Advanced Video Coding (H.264) while maintaining similar quality [2].
A fresh video compression which is more flexible and like an HEVC, the High Definition handy client's devices may require additional HD evolution in traffic of mobile video [3].Several tablets already have resolutions of 8k probable in the 2020s .H.265 established by professionals from ISO/IEC and ITU-T, standardization activity was begun from 2010 and available the essential version of coding standard in 2013 [4].
Recently, video service over IP networks has been increased, video services presently are approximate 73% of all the traffic services are consumed across networks and are expected to be consumed 82% in 2021 [5].Also, Mobile devices increasing the bit rate to twice of IP fixed [6].Also, as 5G mobile systems enter service [7], estimated higher bandwidths, improved reliability and lower delays, are possible to arise the video on demand over the mobile system.These days, the drift is to provide expanded quality of video administrations to clients persistently.For higher quality, it is essential to utilize high-performing encoders since the transmission capacity of the transmission line is constrained.Later codecs are more difficult and need extra processing time to encode video.It is unsatisfactory to spend a few hours compressing a brief video arrangement in High Definition (HD) [8].The improved of H.265 has many previous works.In [9], the authors compared to H.265 lossy coding and lossless coding and proposed a new sample-based angular intra prediction (SAP) method to enhance H.265 lossless mode coding efficiency further.Authors studied the coding of intra in H.264 and H.265 with common coding of the image such as JPEG 2000 and JPEG to present the bit-rate for H.264 and H.265 intra coding.In [10], the authors evaluated and compared between VP9, H.264, and H.265 [11].Authors [10] analyzed the H.265 using the common encoder tool (HM) rate distortion and complexity and evaluated the results of all -intra (AI) AVC reference encoder, low delay B, low delay P, and random access configurations [12].Authors compared between H.265 and H.264 and analyzed throughput using the Bjontegaard delta measurement in paper [13].In [14], the authors proposed an approach to employ the encoding data to limit the rate-distortion -optimization of the encoding, the encoding complexity was reduced while maintaining high rate-distortion performance.Recently, authors evaluated the two modern video coding standards H.264 and H.265 over LTE advanced system, to find the best video codec method [15].The goal of the paper proposes a video transcoding method that is called Pro technique.It is compared with H.265 coding to find the best performance in terms of bit rate and PSNR (overhead).

Advantages of the proposed method as compared to the H.265 transcoding method
• Low bit rate (20-46%).

II. OVERVIEW OF H.265
H.265 procedures outlined the configurations to denote the coded data of video, as shown in Fig. 1.H.265 provides blocks, which are taken in Network Abstraction Layer [16].H.265 has many improvements such as partitions flexibility and more interpolation that is a complicated and unblocking filter, a prediction that is new complicated and motion vector (MV),and support a multi-process [4], [16], [17].H.265 has a different block coding structure, which are:coding tree units (CTU)and coding tree block(CTB), prediction units(PU) prediction blocks(PB), transform units(TU), transform blocks(TB) [18]- [21].
Recently, there is a wide range of systems that receive digital video data such as, tablets, TVs, mobile phones and PC; each has different computational, display, and connectivity capabilities, this video has to be converted to meet the specifications of the target system.This conversion is achieved through video transcoding.For transcoding, a straightforward solution is to decode the compressed video signal and re-encode it to the target compression format, but this process is computationally complex, as shown in Fig. 2. The complexity is solved by the proposed video coding in the next section.

III. PROPOSED VIDEO CODING TECHNIQUE (PRO TECHNIQUE)
The video in the improved video coding method is coded in several layers, in terms of spatial resolution, each layer presents a version of the same data of video.A method has layer zero which is called a base (BL), and enhancement layer (EL) layer of, EL is coded on the BL which is contained the enhanced video, as shown in Fig. 3, it is useful for Figure 1: The encoder of H.265 [15] not viewed on multiple devices of the monitor but wants to store and archive.It has numerous advantages such as less rate of data, more resilience to layer combination.A method has several features such as less data rate in the broadcast application, less storage space, additional flexibility, and supports up and downsampling.Pro technique method philosophy permits scalability execution using double of a single layer in the H.265 to obtain high efficiency of coding.Pro technique reprocesses all the compression stages of H.265 beside prediction of the interlayer, which finds the redundant data between two layers to achieve an efficiency of coding by forecasting the EL layer using the BL.The temporal scalability of Pro technique refers to temporary sublayers.The operating point defines subsets of temporary sublayers, which able to decode.
The temporary has identified the prediction of temporal constraints which is called ID value between the frames, and a frame with a higher temporary ID cannot be used as a reference at a particular temporary ID value.An access unit contains one, or a lot of coded photos; the layer info is indicated in the NAL unit header and video parameter set (VPS).The NAL contains data concerning the temporal sub-layer and layer.The VPS includes data of the layer (types, dependencies and sets, operation points, output sets, and layer hypothetic reference decoder info).The syntax style of Pro technique is changed such that the set of restored frames (resampled if necessary) from the BL by using the inter-layer reference picture (ILR) once coding the present EL frame, which permits prediction of inter-layer to apply with none low-level coding method changes as shown in Fig. 4. ILR frames are created by three main modules: resampling textures and resampling motion  An FFMPEG, HM 16 tools have been used to apply the Pro technique on the raw video data (HD).The pro technique is presented in Fig. 5.The raw video (HD) is applied the downsampling into three layers (720 HD, 4CIF, CIF).The raw video data as presented in Table I.In the First stage of Pro technique, the base layer (CIF) is encoded the video data, then, the enhancement layer 1 (4CIF) is predicted the information from the base layer (DPB) after resampling of the video data, then, the enhancement layer 2 (4CIF) is also predicted from the enhancement layer 1 if the data rate of wireless channel is high.The process is continued until the level of the raw video is reached.Finally, the encoded data in layers are mixed and transmitted and is transmitted via the wireless channel.Finally, the decoded data is received by the receiver.Fig. 6 presents the sequence encoding layers in video encoding tool.

Figure 3 :
Figure 3: Sample Layering and Sub-layering in pro technique bit-stream

Figure 5 :
Figure 5: Simulation of Pro technique encoder

Figure 6 :
Figure 6: Simulation of frame decoding structure in Pro technique encoder

Figure 7 :Figure 8 :
Figure 7: Comparison of The Bit rate Between the H.265 and The Pro Technique at 480 Video Resolution

Figure 9 :Figure 10 :
Figure 9: Comparison of the bit rate between the H.265 and the Pro technique at 1080 video resolution

TABLE I RESOLUTION
OF THE RAW VIDEO Fig.7presents a bit rate at 480 video resolution between h265 and Pro technique of the video coding, the bit rate in both coding increases when the PSNR has been increased.The bit rate of Pro technique is lower than H.265 when the PSNR is 38 dB, the bit rate in the Pro technique is around 678 kbps on this as opposed to H.265 is around 774 kbps.In terms of overhead (PSNR), the Pro technique is higher PSNR than h.265 at 800 Kbps about 1dB.In 720 resolution, the Pro technique bit rate is better than H.265 (about 658 kbps and 911 kbps respectively) at 38 dB, the difference in PSNR between two coding is about 2dB, as presented in Fig.8.When the resolution is 1080, the Pro technique bit rate is better than H.265 (about 525 kbps and 988 kbps respectively) at 40 dB, the difference in PSNR between two video coding is about 2.5 dB, as presented in Fig.9.The Processing time in a Pro technique bit rate is better than H.265 (about 11877 sec and 13844 sec respectively) as presented in Fig.10.Pro technique is used almost the coding data from the base layer to predict frames in the upper layers.TableIIillustrates the result of a compression ratio.