K. Nakamura, Yuya Omori, Daisuke Kobayashi, K. Nitta, Kimikazu Sano, Masayuki Sato, Hiroe Iwasaki, Hiroaki Kobayashi
{"title":"An Efficient Reference Image Sharing Method for the Parallel Video Encoding Architecture","authors":"K. Nakamura, Yuya Omori, Daisuke Kobayashi, K. Nitta, Kimikazu Sano, Masayuki Sato, Hiroe Iwasaki, Hiroaki Kobayashi","doi":"10.1109/coolchips54332.2022.9772670","DOIUrl":null,"url":null,"abstract":"Video coding hardware is essential for various video applications, and to meet demands for higher resolution, the parallel video encoding architecture is often adopted, in which reference images are shared among encoder modules to maintain coding efficiency. However, conventional sharing methods are not always efficient in utilization of transferred image data. In this paper, we propose a method to reduce the amount of data transfer efficiently by using both pre-transfer and on-demand transfer. Experimental results show that the data transfer can be reduced to 19.8-35.3% of the conventional method on average although the access error rate increases to 0.5-2%. This makes it possible to reduce the required bandwidth of the inter-chip interface by saving the amount of data transfer.","PeriodicalId":266152,"journal":{"name":"2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/coolchips54332.2022.9772670","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
Video coding hardware is essential for various video applications, and to meet demands for higher resolution, the parallel video encoding architecture is often adopted, in which reference images are shared among encoder modules to maintain coding efficiency. However, conventional sharing methods are not always efficient in utilization of transferred image data. In this paper, we propose a method to reduce the amount of data transfer efficiently by using both pre-transfer and on-demand transfer. Experimental results show that the data transfer can be reduced to 19.8-35.3% of the conventional method on average although the access error rate increases to 0.5-2%. This makes it possible to reduce the required bandwidth of the inter-chip interface by saving the amount of data transfer.