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Low complexity scalable image and video coding for Internet applications.

机译:适用于Internet应用程序的低复杂度可伸缩图像和视频编码。

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摘要

The demand on image and video bistream features, like SNR and resolution scalability, is increasing because of the increasing need of efficient data manipulation. Complexity issue is also of major concern in algorithm design. In this research, we focus on developing low complexity scalable image and video coding algorithms and investigating their applications in Internet environment.; We develop a high performance block-based wavelet image coder of very low implementational complexity yet of rich features. In this image coder, the Dual-Sliding Wavelet Transform (DSWT) is first applied to image data to generate wavelet coefficients in fixed-size blocks. Coefficient blocks are directly coded with the Low Complexity Binary Description (LCBiD) coding algorithm. There is also no intermediate buffering needed in between DSWT and LCBiD. Compressed bistream generated is both SNR and resolution scalable, as well as highly resilient to transmission errors. This codec has a very good conditioning performance even the block size (16, 16).; Based on this image codec, a new framework for scalable video coding is developed. One major difficulty in designing a scalable video codec is how to obtain a highly scalable video stream while the inter-frame dependency is still efficiently exploited. Layered Motion Compensation and Coding is our solution to this problem. This video coder encodes some frames as I-frames and others as P-frames. An I-frame is encoded by an LCBiD-like image coder. Coefficient domain motion compensation is performed in encoding a P-frame. The prediction residue is calculated in a way that the layered structure is strictly enforced across the entire Group of Pictures. The residue coding scheme is also based on LCBiD with the introduction of conditional sign-bit coding scheme to achieve an SNR scalable video stream. The resolution scalability is realized by coding each subband independently.; An RTSP-based media streaming framework has been constructed to deliver the scalable video stream. The SNR scalability of fine granularity enables the delivery of the video streams of different qualities by performing simple parsing operations.
机译:由于对高效数据处理的需求不断增加,因此对图像和视频双流功能(如SNR和分辨率可伸缩性)的需求正在增加。复杂性问题也是算法设计中的主要问题。在这项研究中,我们专注于开发低复杂度的可伸缩图像和视频编码算法,并研究它们在Internet环境中的应用。我们开发了一种基于功能块的高性能小波图像编码器,该编码器的实现复杂度很低,但实现复杂度却很低。在此图像编码器中,首先将双滑动小波变换(DSWT)应用于图像数据,以在固定大小的块中生成小波系数。系数块直接通过低复杂度二进制描述(LCBiD)编码算法进行编码。 DSWT和LCBiD之间也不需要中间缓冲。生成的压缩双码流具有SNR和分辨率可扩展性,以及对传输错误的高度恢复能力。即使在块大小(16、16)的情况下,该编解码器也具有非常好的调节性能。基于此图像编解码器,开发了用于可伸缩视频编码的新框架。设计可伸缩视频编解码器的一个主要困难是如何在仍有效利用帧间相关性的同时获得高度可伸缩的视频流。分层运动补偿和编码是我们针对此问题的解决方案。该视频编码器将一些帧编码为I帧,将其他帧编码为P帧。 I帧由类LCBiD的图像编码器编码。在编码P帧中执行系数域运动补偿。预测残差的计算方式是在整个图片组中严格执行分层结构。残差编码方案也基于LCBiD,并引入了条件符号位编码方案以实现SNR可伸缩视频流。通过独立地编码每个子带来实现分辨率的可伸缩性。已经构建了基于RTSP的媒体流框架来交付可伸缩的视频流。细粒度的SNR可伸缩性可通过执行简单的解析操作来传递不同质量的视频流。

著录项

  • 作者

    Bao, Yiliang.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术 ;
  • 关键词

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