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Low Complexity Integer Transform and Adaptive Quantization Optimization
  • ISSN号:1000-9000
  • 期刊名称:《计算机科学技术学报:英文版》
  • 时间:0
  • 分类:TN919.8[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构:[1]Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, P.R. China, [2]Department of Computer Science, Harbin Institute of Technology, Harbin 150001, P.R. China
  • 相关基金:Supported by the National Natural Science Foundation of China under Grant No. 60333020, and the National Basic Research 973 Program of China under Grant No. 2001CCA03300.
中文摘要:

在这篇论文,新低复杂性整数变换被建议,过时的人或物由 AVS1-P7 采用了它。建议变换罐头使 AVS1-P7 能与 AVS1-P2 分享 samequantization/dequantization 桌子。因为建议变换系数的底是很靠近的,变换正规化能仅仅在编码器方面上被实现, thedequantization 表大小能与在 H.264/MPEG-4 AVC 使用的变换相比被减少。Alongwith 建议变换的特征,为建议变换的适应死了地区的量子化优化被学习。试验性的结果证明建议整数变换与在 H.264/MPEG-4 AVC 使用的变换相比有类似的编码性能,并且将与适应死了地区的量子化优化获得 nearO.1dB。

英文摘要:

In this paper, a new low complexity integer transform is proposed, which has been adopted by AVS1-PT. The proposed transform can enable AVS1-P7 to share the same quantization/dequantization table with AVS1-P2. As the bases of the proposed transform coefficients are very close, the transform normalization can be implemented only on the encoder side and the dequantization table size can be reduced compared with the transform used in H.264/MPEG-4 AVC. Along with the feature of the proposed transform, adaptive dead-zone quantization optimization for the proposed transform is studied. Experimental results show that the proposed integer transform has similar coding performance compared with the transform used in H.264/MPEG-4 AVC, and would gain near 0.1dB with the adaptive dead-zone quantization optimization.

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期刊信息
  • 《计算机科学技术学报:英文版》
  • 中国科技核心期刊
  • 主管单位:
  • 主办单位:中国科学院计算机技术研究所
  • 主编:
  • 地址:北京2704信箱
  • 邮编:100080
  • 邮箱:jcst@ict.ac.cn
  • 电话:010-62610746 64017032
  • 国际标准刊号:ISSN:1000-9000
  • 国内统一刊号:ISSN:11-2296/TP
  • 邮发代号:2-578
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:505