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	1. Multiple Description Video Coding Using Rate-Distortion Optimized Temporal Sampling
	Huihui Bai,Lili Wan
	Computer Science and Technology 10 February 2012
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	Abstract:In this paper, an effective multiple description video codec is designed based on pre- and post-processing of video sequences without modifying the actual coding process itself, which makes it compatible with the current standard coding. In pre-processing, adaptive modes of temporal sampling are employed to regulate the motion change between frames before performing odd/even frame splitting, which facilitates a good estimation of lost frames in post-processing after side decoding. In particular, given a central distortion, rate-distortion optimization with La-grangian formulation is applied in pre-processing to achieve a good tradeoff between bit rate and side distortion. Furthermore, for simplicity of the Lagrangian multiplier selection, a new optimization criterion is proposed based on the correlation of intra-/inter-description. The experimental results exhibit better performance of the proposed scheme than other tested schemes.
	TO cite this article:Huihui Bai,Lili Wan. Multiple Description Video Coding Using Rate-Distortion Optimized Temporal Sampling[OL].[10 February 2012] http://en.paper.edu.cn/en_releasepaper/content/4465152


	2. Feature-Distance-Based Region Matching Interpolation of Multidimensional Grey-Level Images
	Su Yong,Zhang Caiming
	Computer Science and Technology 18 June 2009
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	Abstract:Image interpolation plays an important role in three-dimensional reconstruction, and the interpolation results have a great impact on the reconstruction directly. A feature-distance-based region matching interpolation method is presented in this paper: First, the corresponding relation between the interpolated images is built by an optimization process which is based on the gray value, the gradient of the gray value, the gradient direction in neighboring slices and the gray-scale continuous threshold which is set to get the paired points. Second, for the best-matching point pair, linear interpolation, and for the worst-matching point pair, we calculate the shortest feature distance to the relative feature points and use the shortest feature distance to control the image interpolation. The results show that the new method does not require the image shape information and can improve the image fuzzy border problem of internal organs and enhance the quality of the interpolated images.
	TO cite this article:Su Yong,Zhang Caiming. Feature-Distance-Based Region Matching Interpolation of Multidimensional Grey-Level Images[OL].[18 June 2009] http://en.paper.edu.cn/en_releasepaper/content/33255


	3. Sublingual Vein Segmentation Based on Color Features
	Zifei Yan,Kuanquan Wang,Naimin Li
	Computer Science and Technology 06 January 2008
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	Abstract:The Sublingual Vein Diagnosis, one part of Tongue Diagnosis, plays an important role in deciding the healthy condition of humans. So far, extensive studies have been made on extracting tongue surface features, but rarely refer to sublingual vein that is also diagnostically important. This paper presents two approaches to segment the sublingual veins taking the color features of sublingual images into consideration. Experimental results show that, sublingual vein structures can been successfully mapped for 129 out of 150 patients and healthy subjects, when utilizing u component and S component for segmentation, and the average segmentation rate is up to 86%.
	TO cite this article:Zifei Yan,Kuanquan Wang,Naimin Li. Sublingual Vein Segmentation Based on Color Features[OL].[ 6 January 2008] http://en.paper.edu.cn/en_releasepaper/content/17785

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