Pub Date : 2011-07-18DOI: 10.5220/0003517300730078
Amrita Ganguly, A. Mahanta
H.264/AVC video coding standard outperforms former standards in terms of coding efficiency but at the expense of higher computation complexity. Of all the encoding elements in H.264, inter prediction is computationally most intensive and thus adds to the computational burden for the encoder. In this paper, we propose a fast inter prediction algorithm for JVT video coding standard H.264/ AVC. Prior to performing the motion estimation for inter prediction, characteristics like stationarity and homogeneity of each macroblock is determined. The macroblocks correlation with neighboring macroblocks in respect of predicted motion vectors and encoding modes are studied. Weights are assigned for these parameters and the final mode is selected based upon these weights. The average video encoding time reduction in the proposed method is 70% compared to the JVT benchmark JM12.4 while maintaining similar PSNR and bit rate. Experimental results for various test sequences at different resolutions are presented to show the effectiveness of the proposed method.
{"title":"Improved inter mode decision for H.264/AVC using weighted prediction","authors":"Amrita Ganguly, A. Mahanta","doi":"10.5220/0003517300730078","DOIUrl":"https://doi.org/10.5220/0003517300730078","url":null,"abstract":"H.264/AVC video coding standard outperforms former standards in terms of coding efficiency but at the expense of higher computation complexity. Of all the encoding elements in H.264, inter prediction is computationally most intensive and thus adds to the computational burden for the encoder. In this paper, we propose a fast inter prediction algorithm for JVT video coding standard H.264/ AVC. Prior to performing the motion estimation for inter prediction, characteristics like stationarity and homogeneity of each macroblock is determined. The macroblocks correlation with neighboring macroblocks in respect of predicted motion vectors and encoding modes are studied. Weights are assigned for these parameters and the final mode is selected based upon these weights. The average video encoding time reduction in the proposed method is 70% compared to the JVT benchmark JM12.4 while maintaining similar PSNR and bit rate. Experimental results for various test sequences at different resolutions are presented to show the effectiveness of the proposed method.","PeriodicalId":103791,"journal":{"name":"Proceedings of the International Conference on Signal Processing and Multimedia Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133525313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-07-18DOI: 10.5220/0003513901730180
Robert Kosikowski, Lukasz Kosikowski, Piotr Odya, A. Czyżewski
This paper describes a design and implementation of the vision screening system dedicated for iOS (iPhone/iPad/iPod Operating System) based devices. The aim of the system is to promote and popularize the vision tests, especially among children and youth. The examination consists of color vision and contrast differentiation tests. After the examination the system automatically evaluates users' answers and generates the results. Test data are anonymously sent to the server allowing for a detailed analysis. The paper contains analysis of the results on the population of about 3800 people. Presented data show that vision problems concern about half of users. The analysis was divided into two age groups (pre-school children and older) and two types of eye disorders - vision acuity and perceptions of colors including Dalton testing. Test for the first age group has been adapted to examine people with special educational needs.
{"title":"Senses — What u see? Vision screening system dedicated for iOS based devices development and screening results","authors":"Robert Kosikowski, Lukasz Kosikowski, Piotr Odya, A. Czyżewski","doi":"10.5220/0003513901730180","DOIUrl":"https://doi.org/10.5220/0003513901730180","url":null,"abstract":"This paper describes a design and implementation of the vision screening system dedicated for iOS (iPhone/iPad/iPod Operating System) based devices. The aim of the system is to promote and popularize the vision tests, especially among children and youth. The examination consists of color vision and contrast differentiation tests. After the examination the system automatically evaluates users' answers and generates the results. Test data are anonymously sent to the server allowing for a detailed analysis. The paper contains analysis of the results on the population of about 3800 people. Presented data show that vision problems concern about half of users. The analysis was divided into two age groups (pre-school children and older) and two types of eye disorders - vision acuity and perceptions of colors including Dalton testing. Test for the first age group has been adapted to examine people with special educational needs.","PeriodicalId":103791,"journal":{"name":"Proceedings of the International Conference on Signal Processing and Multimedia Applications","volume":"24 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132398322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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