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2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)最新文献

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Daala: Building a next-generation video codec from unconventional technology Daala:利用非常规技术构建下一代视频编解码器
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-08-05 DOI: 10.1109/MMSP.2016.7813362
J. Valin, Timothy B. Terriberry, N. Egge, Thomas J. Daede, Yushin Cho, Christopher Montgomery, Michael Bebenita
{"title":"Daala: Building a next-generation video codec from unconventional technology","authors":"J. Valin, Timothy B. Terriberry, N. Egge, Thomas J. Daede, Yushin Cho, Christopher Montgomery, Michael Bebenita","doi":"10.1109/MMSP.2016.7813362","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813362","url":null,"abstract":"Daala is a new royalty-free video codec that attempts to compete with state-of-the-art royalty-bearing codecs. To do so, it must achieve good compression while avoiding all of their patented techniques. We use technology that is as different as possible from traditional approaches to achieve this. This paper describes the technology behind Daala and discusses where it fits in the newly created AV1 codec from the Alliance for Open Media. We show that Daala is approaching the performance level of more mature, state-of-the art video codecs and can contribute to improving AV1.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565934","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}
引用次数: 14
Lossless compression in HEVC with integer-to-integer transforms HEVC中整数到整数变换的无损压缩
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-05-17 DOI: 10.1109/MMSP.2016.7813364
Fatih Kamisli
{"title":"Lossless compression in HEVC with integer-to-integer transforms","authors":"Fatih Kamisli","doi":"10.1109/MMSP.2016.7813364","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813364","url":null,"abstract":"Many approaches have been proposed to support lossless coding within video coding standards that are primarily designed for lossy coding. The simplest approach is to just skip transform and quantization and directly entropy code the prediction residual, which is used in HEVC version 1. However, this simple approach is inefficient for compression. More efficient approaches include processing the residual with DPCM prior to entropy coding. This paper explores an alternative approach based on processing the residual with integer-to-integer (i2i) transforms. I2i transforms map integers to integers, however, unlike the integer transforms used in HEVC for lossy coding, they do not increase the dynamic range at the output and can be used in lossless coding. Experiments with the HEVC reference software show competitive results.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121980526","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}
引用次数: 1
3D interest point detection based on geometric measures and sparse refinement 基于几何测度和稀疏细化的三维兴趣点检测
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-04-29 DOI: 10.1109/MMSP.2016.7813369
Xinyu Lin, Ce Zhu, Qian Zhang, Y. Liu
{"title":"3D interest point detection based on geometric measures and sparse refinement","authors":"Xinyu Lin, Ce Zhu, Qian Zhang, Y. Liu","doi":"10.1109/MMSP.2016.7813369","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813369","url":null,"abstract":"Three dimensional (3D) interest point detection plays a fundamental role in computer vision. In this paper, we introduce a new method for detecting 3D interest points of 3D mesh models based on geometric measures and sparse refinement (GMSR). The key point of our approach is to calculate the 3D saliency measure using two novel geometric measures, which are defined in multi-scale space to effectively distinguish 3D interest points from edges and flat areas. Those points with local maxima of 3D saliency measure are selected as the candidates of 3D interest points. Finally, we utilize an l0 norm based optimization method to refine the candidates of 3D interest points by constraining the number of 3D interest points. Numerical experiments show that the proposed GMSR based 3D interest point detector outperforms current six state-of-the-art methods for different kinds of 3D mesh models.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833182","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}
引用次数: 5
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