• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain
【24h】

Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain

机译：基于自适应二进制算术编码器的图像特征和压缩域分割

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Image compression is necessary in various applications, especially for efficient transmission over a band-limited channel. It is thus desirable to be able to segment an image in the compressed domain directly such that the burden of decompressing computation can be avoided. Motivated by the adaptive binary arithmetic coder (MQ coder) of JPEG2000, we propose an efficient scheme to segment the feature vectors that are extracted from the code stream of an image. We modify the Compression-based Texture Merging (CTM) algorithm to alleviate the influence of overmerging problem by making use of the rate distortion information. Experimental results show that the MQ coder-based image segmentation is preferable in terms of the boundary displacement error (BDE) measure. It has the advantage of saving computational cost as the segmentation results even at low rates of bits per pixel (bpp) are satisfactory.
机译：图像压缩在各种应用中都是必需的，尤其是对于在带宽受限的通道上进行有效传输而言。因此，期望能够直接在压缩域中分割图像，从而可以避免解压缩计算的负担。基于JPEG2000的自适应二进制算术编码器（MQ coder），我们提出了一种有效的方案来分割从图像代码流中提取的特征向量。我们修改了基于压缩的纹理合并（CTM）算法，以通过利用速率失真信息来减轻过度合并问题的影响。实验结果表明，就边界位移误差（BDE）量度而言，基于MQ编码器的图像分割更为可取。它具有节省计算成本的优点，因为即使在低的每像素比特率（bpp）下的分割结果也令人满意。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2012年第2期|p.13-26|共14页
  • 作者

    Hsi-Chin Hsin; Tze-Yun Sung; Yaw-Shih Shieh; Carlo Cattani;

  • 作者单位

    Department of Computer Science and Information Engineering, National United University,Miaoli 36003, Taiwan;

    Department of Electronics Engineering, Chung Hua University, Hsinchu City 30012, Taiwan;

    Department of Electronics Engineering, Chung Hua University, Hsinchu City 30012, Taiwan;

    Department of Mathematics, University of Salerno, Via Ponte Don Melillo, 84084 Fisciano, Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号