{"title":"Effects of Inter-Frame Coding on Video Sequences Containing Temporal Activity","authors":"A. A. Siddique, M. F. Saleem","doi":"10.1109/GCWOT49901.2020.9391596","DOIUrl":null,"url":null,"abstract":"In this era, technology has played a vital role to link two people from a large distances via video conferencing through wireless channels. Bandwidth of the wireless channel is limited for communication, so in this regard compression becomes necessary. Compression is an integral part of video coding as it reduces the size of the video at a cost of some quality lost. Every video contains temporal activity, it is vital to study the temporal analysis before compression. Two different frame within the same video sequence contain a lot of redundant information. Due to the process of compression, video sequence is distorted. This distortion tends to increase if the video contain more temporal activity and reduces if it contain less. There are certain types of distortion that corrupts the signal such as ringing, ghosting, etc. It is important to keep an eye on the Frame rate (FPS) because a system needs to process each frames at a rate of 1/(number of frames) in a second. Compression algorithm requires extensive hardware to encode the motion vector information along with the residual frame. The difference mean opinion score (DMOS) that were obtained from the masses obtained resembles the results obtained after monitoring the motion activity in the sequence before compression and decompression.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWOT49901.2020.9391596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this era, technology has played a vital role to link two people from a large distances via video conferencing through wireless channels. Bandwidth of the wireless channel is limited for communication, so in this regard compression becomes necessary. Compression is an integral part of video coding as it reduces the size of the video at a cost of some quality lost. Every video contains temporal activity, it is vital to study the temporal analysis before compression. Two different frame within the same video sequence contain a lot of redundant information. Due to the process of compression, video sequence is distorted. This distortion tends to increase if the video contain more temporal activity and reduces if it contain less. There are certain types of distortion that corrupts the signal such as ringing, ghosting, etc. It is important to keep an eye on the Frame rate (FPS) because a system needs to process each frames at a rate of 1/(number of frames) in a second. Compression algorithm requires extensive hardware to encode the motion vector information along with the residual frame. The difference mean opinion score (DMOS) that were obtained from the masses obtained resembles the results obtained after monitoring the motion activity in the sequence before compression and decompression.