{"title":"多维转码中mpeg压缩域的失真度量","authors":"Yong Ju Jung, T. Thang, Yong Man Ro","doi":"10.1109/MMSP.2005.248590","DOIUrl":null,"url":null,"abstract":"In order to find the optimal combination of spatio-SNR-temporal transcoding operations, we need to measure the distortion due to the transcoding operations. In this paper, we develop computational methods to calculate the distortion by using only the information extracted directly from the input bitstream through a minimum decoding process in the DCT domain. The objective of our distortion modeling is to estimate the multidimensional distortion before the entire transcoding process","PeriodicalId":191719,"journal":{"name":"2005 IEEE 7th Workshop on Multimedia Signal Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Distortion Measures in MPEG-Compressed Domain for Multidimensional Transcoding\",\"authors\":\"Yong Ju Jung, T. Thang, Yong Man Ro\",\"doi\":\"10.1109/MMSP.2005.248590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to find the optimal combination of spatio-SNR-temporal transcoding operations, we need to measure the distortion due to the transcoding operations. In this paper, we develop computational methods to calculate the distortion by using only the information extracted directly from the input bitstream through a minimum decoding process in the DCT domain. The objective of our distortion modeling is to estimate the multidimensional distortion before the entire transcoding process\",\"PeriodicalId\":191719,\"journal\":{\"name\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2005.248590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2005.248590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distortion Measures in MPEG-Compressed Domain for Multidimensional Transcoding
In order to find the optimal combination of spatio-SNR-temporal transcoding operations, we need to measure the distortion due to the transcoding operations. In this paper, we develop computational methods to calculate the distortion by using only the information extracted directly from the input bitstream through a minimum decoding process in the DCT domain. The objective of our distortion modeling is to estimate the multidimensional distortion before the entire transcoding process