{"title":"New scalable three-stage motion estimation technique for mobile MPEG encoding","authors":"S. Mietens, P. D. With, C. Hentschel","doi":"10.1109/ICME.2002.1035874","DOIUrl":null,"url":null,"abstract":"The paper presents a new scalable three-stage motion estimation technique, which includes processing of frames in display order and approximating motion vector fields using multiple references. Quality refinement is added as an optional stage. The complete system provides a flexible framework with a large scalability range in computational effort, resulting in different picture-quality levels or bitrates. Experiments show a scalable computational effort with a factor of 14, resulting in a global variation of 7 dB SNR in picture quality (with the \"Stefan\" sequence). In high-quality operation, the new method is comparable to a full-search motion estimation with a search window of 32/spl times/32 pixels (or even outperforms it). The innovation provides an excellent starting point for scalability in resource-constrained mobile system design (see Mietens, S. et al., IEEE Int. Conf. on Image Proc., ICIP 2001, vol.3, p.462-5, 2001).","PeriodicalId":90694,"journal":{"name":"Proceedings. IEEE International Conference on Multimedia and Expo","volume":"67 1","pages":"685-688 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2002.1035874","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
The paper presents a new scalable three-stage motion estimation technique, which includes processing of frames in display order and approximating motion vector fields using multiple references. Quality refinement is added as an optional stage. The complete system provides a flexible framework with a large scalability range in computational effort, resulting in different picture-quality levels or bitrates. Experiments show a scalable computational effort with a factor of 14, resulting in a global variation of 7 dB SNR in picture quality (with the "Stefan" sequence). In high-quality operation, the new method is comparable to a full-search motion estimation with a search window of 32/spl times/32 pixels (or even outperforms it). The innovation provides an excellent starting point for scalability in resource-constrained mobile system design (see Mietens, S. et al., IEEE Int. Conf. on Image Proc., ICIP 2001, vol.3, p.462-5, 2001).
本文提出了一种新的可扩展的三阶段运动估计技术,该技术包括按显示顺序处理帧和使用多个参考点逼近运动向量场。质量细化是一个可选的阶段。完整的系统提供了一个灵活的框架,在计算工作量方面具有很大的可伸缩性范围,从而产生不同的图像质量水平或比特率。实验表明,可扩展的计算工作量为14倍,导致图像质量的全局变化为7 dB信噪比(使用“Stefan”序列)。在高质量的操作中,新方法与搜索窗口为32/spl次/32像素的全搜索运动估计相当(甚至优于它)。这一创新为资源受限的移动系统设计的可扩展性提供了一个极好的起点(见Mietens, S. et al., IEEE Int.)。《影像学报》,2001,vol.3, p. 465 - 465, 2001)。