Hanjie Ma, Jie Feng, Hai Huang, Huaxiong Zhang, Jie Hu
{"title":"An Adaptive bit-allocation Method Based on Perceptual Quality Smoothing for Wireless Video Communications","authors":"Hanjie Ma, Jie Feng, Hai Huang, Huaxiong Zhang, Jie Hu","doi":"10.1109/ICNDC.2012.27","DOIUrl":null,"url":null,"abstract":"An adaptive bit-allocation method based on perceptual quality smoothing for wireless video communications is proposed. A visual attention model is build by considering skin, motion and position. Then the perceptual video quality distortion is predicted using the visual attention model and channel state information. Finally the MB target bits are allocated according to the predicted perceptual video quality distortion. Experimental results show that, when wireless channel state varies rapidly, comparing with the H.264 standard encoding method, the proposed method can reduce the variation of attention area's Peak Signal Noise Ratio (PSNR) and the variation of the frame Structural Similarity (SSIM). As a result, the perceptual quality smoothing is enhanced and the whole video perceptual quality is also improved.","PeriodicalId":151593,"journal":{"name":"2012 Third International Conference on Networking and Distributed Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Networking and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDC.2012.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An adaptive bit-allocation method based on perceptual quality smoothing for wireless video communications is proposed. A visual attention model is build by considering skin, motion and position. Then the perceptual video quality distortion is predicted using the visual attention model and channel state information. Finally the MB target bits are allocated according to the predicted perceptual video quality distortion. Experimental results show that, when wireless channel state varies rapidly, comparing with the H.264 standard encoding method, the proposed method can reduce the variation of attention area's Peak Signal Noise Ratio (PSNR) and the variation of the frame Structural Similarity (SSIM). As a result, the perceptual quality smoothing is enhanced and the whole video perceptual quality is also improved.