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With the development of next-generation sequencing technologies, large number of transcripts has been accumulated in public databases. Long non-coding RNAs (lncRNAs), typically above 200 nucleotides in sequence length, have recently attracted increasing interests because of their important roles in various cellular processes. While it is straightforward to distinguishing lncRNAs from most small non-coding...
In space communications, some information is more important than others so that it necessitates a unequal error protection (UEP) to provide priority encoding transmission in limited channel capacity. Expanding Window Fountain (EWF) codes is a promising packet level FEC scheme for UEP. However, due to inherit from Fountain codes, its performance becomes very poor when source block size is small. In...
With genome-wide screening of N. vectensis, two new groups of Polinton were identified, beside five Polinton groups deposited in Repbase. The typical N. vectensis Polinton is in length of 15-20kb and has long TIRs with a 6-bp TSDs. it encodes as many as 6 different proteins, including retroviral-like integrase (INT), adenovirus protease (PRO), DNA polymerase B (POLB) and putative ATPase (ATP). These...
Long encoding time is the bottleneck in the developing of fractal image coding. Although some improved methods are proposed, the contradiction between encoding time and decoding quality is a still ubiquitous problem. To solve this problem, a novel fractal image coding method based on basis block dictionary is proposed. Multi-component dictionary, which is over-complete, is built under the generative...
Recently we revisited the classic problem of developing a correlation model for natural videos by proposing a block-based local-texture-dependent correlation coefficient model for natural videos in the original spatial-temporal domain prior to any processing. We used this conditional correlation model to calculate the conditional rate distortion function when universal side information on local texture...
We propose to use two parameters, the scene complexity (C) and the level of motion (M), to capture the video content characteristics that matter most to the quality of compressed videos transmitted over IP networks, either with or without packet losses. Two simple but robust formulas are designed to calculate these two parameters from the following variables: bits of coded intra (I-) frames (BitsI...
Recently we proposed a block-based conditional correlation coefficient model for natural videos in the spatial-temporal domain. The conditioning is on local texture and the optimal parameters can be calculated for a specific video with a mean absolute error (MAE) usually smaller than 5%. We used this conditional correlation model and the classic results on conditional rate distortion functions to...
We revisit the classic problem of developing a correlation model for natural videos and studying their theoretical rate distortion bounds. We propose the correlation coefficient of two pixels in two nearby video frames as the product of the spatial correlation coefficient of these two pixels, as if they were in the same frame, and a variable to quantify the temporal correlation between these two video...
This paper presents a novel information hiding algorithm for AVS (audio video coding standard), taking advantage of the specific features of this self developed Chinese audio video compression standard. AVS adopts Exp-Golomb coding and context based adaptive variable length coding to solve the entropy coding problem, almost all the syntax elements are encoded using Exp-Golomb codes. In the compressed...
THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD". We revisit the classic problem of developing a spatial correlation model for natural images and videos by proposing a conditional correlation model for relatively nearby pixels that is dependent upon five parameters. The conditioning is on local texture and the optimal parameters can be calculated for a specific image or video with a mean absolute...
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