Essay Example on From past few years there is an extreme evolution of the Internet

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ABSTRACT From past few years there is an extreme evolution of the internet which leads to significantly growth in video technology and huge video consumption over the internet which leads to bulk of data in general A good quality video consumes a lot of memory which is a burden for a server or for a user who is a fond of videos over the web so to reduce this burden compression is done to minimize the memory used by videos For this purpose many codecs are there like HEVC H 265 and VP9 which are capable to compress the video of any resolutions like 8192 4320 including 8k UHD This paper is giving enough knowledge for both the techniques and also their common points and differences Also this paper describes overall necessity of HEVC and VP9 on playback on web browser and compression of high definition video for live video streaming and a proper idea on dividing the frames of the video into several parts for compression and then putting back together for better efficiency and quality on internet and offline too At last it is proved that why HEVC is superior to VP9 in some manners INTRODUCTION Digital video communication is efficiently growing field especially with the improvement in video compression techniques

A high definition uncompressed video recorded by a good quality camcorder takes a huge amount on disk or on server if it s a live video An uncompressed video is consuming much memory on the disk so to save the space we are using compression A video is a sequence of images only which displays in order as a video and all these images are known as frames We are not able to notice any small change in the frame like slightly change in the colour and video compression techniques do not encode all the information in the video some information might be lost In live video streaming also the video is compressed over the internet then displayed by a user in the real time With streaming videos an internet user does not have to wait for the whole video to downloaded instead he can play that clip as it arrives because it is sent in a continuous stream of data Compressions are mainly of two types Lossless compression From the name itself it is clear that there is no loss in the quality of images and video while using lossless compression technique but this technique doesn t save the memory like the video after compression will have almost same size like before It s examples we can see in Healthcare industries which deals with radio graphic images and in manufacturing companies which use machine drawing images and images of circuit diagrams etc this images and diagrams demand for zero data loss in quality therefor lossless compression technique are best suitable for this kind of images Lossy compression 



Applications that does not require high accuracy in the quality of videos and images can be done easily by lossy compression techniques A good example for this technique can be videos or images taken by mobile phone or digital camera in this devices data from the image sensor is processed to a compressed format of GIF or JPEG of desired quality Lossy compression techniques can reduce the size or memory of the video from 5 to 95 depends on the requirements It saves memory but with much data loss that s why it is called as a Lossy compression HEVC H 265 codec HEVC was developed by the joint collaborative team on video coding JCT VC a collaboration between the ISO IEC MPEG and ITU T VCEG High efficiency video coding HEVC or H 265 is a video compression standard and it is a successor of widely used H 264 standard As compare to H 264 HEVC allows about double the data compression ratio at the same level of video quality or better quality at the same bit rate The best part of H 265 is that it supports resolutions up to 8192 4320 including 8K UHD In many ways the working principal is same for both H 265 and H 264 standards Both work by comparing separate parts of a frame of video to find areas that are redundant that to within a single frame and as well as subsequent frames Then these redundant areas are replaced by short description in place of original pixels The main changes in HEVC H 265 is expansion in difference coding areas from 16 16 pixels to sizes up to 64 64 pixels with improved variable block size segmentation improved motion vector prediction and motion region merging and improved motion compensation filtering with an additional filtering step known as sample adaptive offset filtering The effectiveness of these improvements requires much more signal processing capabilities for compressing the video HEVC is the latest technique which is widely used in video applications


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