NDLI: Image information splitting framework with importance sampling for robust transmission

Content Provider	IEEE Xplore Digital Library
Author	Chia-Liang Tsai Shao-Yi Chien
Copyright Year	2010
Description	Author affiliation: Media IC and System Lab Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University BL-421,1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan (Chia-Liang Tsai; Shao-Yi Chien)
Abstract	In the traditional compression schemes of visual multimedia contents, such as video and image, scalable compression is usually achieved by splitting the information into one base layer and several enhanced layers. Such principle for scalable compression encounters a problem in the presence of transmission loss that the unpredictable loss in the base layer causes tremendous reduction of recognizable information by human perception. Multiple Description Coding (MDC) is defined to be robust in the presence of transmission loss and several MDC schemes have been proposed as extensions of the existing image and video compression standards. In this paper, a new presentation of image information based on the principle of MDC is proposed. The image is presented as samples whose density is variable according to the frequency energy. Moreover, the samples are able to be split into several partitions, promising that a recognizable approximation of the original content can be reconstructed by any partition, and more high frequency information can be reconstructed with more partitions, which fulfills the motivation of MDC. The reconstruction is realized by interpolating samples using normalized radial basis function (RBF) network. The result shows that the proposed framework of image information splitting provides acceptable quality scalability.
Starting Page	4225
Ending Page	4228
File Size	980350
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monte Carlo methods Robustness Image coding Image reconstruction Propagation losses Humans Scalability Video compression Frequency conversion Transform coding
Content Type	Text
Resource Type	Article

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