نتایج جستجو برای: feature coding
تعداد نتایج: 355351 فیلتر نتایج به سال:
In this paper, we propose a feature coding method based on shared weights support vector data description (FCM-SWSVDD). The proposed process of FCM-SWSVDD is as follows. By considering the density information clusters and introducing weighting learning, an improved (SVDD), named (SWSVDD). SWSVDD can obtain cluster center radius more accurately. Incorporating triangle into same learning process,...
A Local Texture-Based Superpixel Feature Coding for Saliency Detection Combined with Global Saliency
This thesis introduces a novel method for accurate pitch detection and speech segmentation, named Multi-feature, Autocorrelation (ACR) and Wavelet Technique (MAWT). MAWT uses feature extraction, and ACR applied on Linear Predictive Coding (LPC) residuals, with a wavelet-based refinement step. MAWT opens the way for a unique approach to modeling: although speech is divided into segments, the suc...
With fast computation and excellent compression efficiency, two embedded coding techniques, zero-tree/-block coding and context modeling of the subband/wavelet coefficients, have been widely utilized for image coding applications. In this research, we present a new embedded wavelet image coding algorithmwith an attempt to combine advantages of these two successful coding schemes. The experiment...
We consider the variable-to-fixed length lossy source coding (VFSC) problem. The optimal compression rate of the average length of variable-to-fixed source coding, allowing a non-vanishing probability of excess-distortion ε, is shown to be equal to (1−ε)R(D), where R(D) is the rate-distortion function of the source. In comparison to the related results of Koga and Yamamoto as well as Kostina, P...
“any science seeks generalities; the aim is to transcend knowledge of particular cases by discovering general regularities or laws” (chesterman, 2001, p. 1). these were the words of chesterman whose paper has served as a typical example of numerous papers carried out on ‘translation universals’ since the mid-nineties. blum-kulka (1986) is among translation studies scholars who proposed ‘explici...
Data coding as a building block of several image processing algorithms has been received great attention recently. Indeed, the importance of the locality assumption in coding approaches is studied in numerous works and several methods are proposed based on this concept. We probe this assumption and claim that taking the similarity between a data point and a more global set of anchor points does...
The Block Truncation Coding (BTC) is one of the lossy image compression algorithms. In this paper, we have proposed a method called the Improved Adaptive Block Truncation Coding (IABTC) based on Adaptive Block Truncation Coding (ABTC). The feature of inter-pixel redundancy is exploited to reduce the bit-rate further by retaining the quality of the reconstructed images. The proposed method outpe...
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