1,720,963 research outputs found
Rate control using linear rate-rho model for H.264
The paper models relations of rate-rho and QP-rho, where rho is defined as the percentage of zero coefficients in a frame. These two models are used for a frame-level rate-control of H.264. A linear approximation scheme is adopted to model the rate-rho relations for the rate-control. The proposed frame-level rate-control method exploits rate-distortion optimization (RDO) to estimate macroblock modes and bitrates for the initial quantization parameter (QP). An intrarate model is also designed to determine an initial QP for the intra-frame. In experimental results, peak signal-to-noise ratio. bitrate estimation error, rate-control accuracy in the scene changes, and computational complexity of the proposed method are analyzed for various video sequences. According to the experimental analysis, the proposed method outperforms the existing rate-control method (Joint Video Team of ISO/IEC and ITV-T the Fifth Meeting, JVT-DO69, Geneva, Switzerland, 9-17 October 2002). (C) 2003 Elsevier B.V. All rights reserved
Fast loop filtering using separable characteristics of the integer 2-D discrete cosine transform
When an image is highly compressed, video coding using the discrete cosine transform (DCT) and quantization produces noticeable image degradations, such as blocking artifacts and ringing noise. In order to reduce the degradations, a loop filtering algorithm is proposed, which consists of simple deblocking filtering and a fast decision rule for ringing and blocking conditions. The proposed method utilizes a four-point integer DCT for detecting blocking and ringing conditions. It also adopts an early termination policy during detection of the blocking and ringing conditions in the DCT domain. This policy speeds up computation of the filtering. The proposed method is compared with the loop filtering of the Joint Video Team (JVT) codec. As an experimental result, the computation time of the proposed method is approximately 20% faster than that of the JVT loop filtering, while the PSNR is almost the same. (C) 2003 Society of Photo-Optical Instrumentation Engineers
Segmentation of Brain MR Image Using Template Matching and Hierarchical Fuzzy C-means Algorithm
International Society for Magnetic Resonance in Medicine, pp. 904, Toronto, Canadathe M1-0107-07-0001, the Ministry of science and Technology, Kore
Hierarchical fuzzy segmentation of brain MR images
In brain magnetic resonance (MR) images, image segmentation and 3D visualization are very useful tools for the diagnosis of abnormalities. Segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is the basic process for 3D visualization of brain MR images. Of the many algorithms, the fuzzy c-means (FCM) technique has been widely used for segmentation of brain MR images. However, the FCM technique does not yield sufficient results under radio frequency (RF) nonuniformity. We propose a hierarchical FCM (HFCM), which provides good segmentation results under RF nonuniformity and does not require any parameter setting. We also generate Talairach templates of the brain that are deformed to 3D brain MR images. Using the deformed templates, only the cerebrum region is extracted from the 3D brain MR images. Then, the proposed HFCM partitions the cerebrum region into WM, GM, and CSF. (C) 2003 Wiley Periodicals, Inc
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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