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Table 1: Segment Partitioning in Periodic Broadcasting Technique Partitioning Series

in Analysis of Resource Sharing and Cache Management in Scalable Video-on-Demand
by unknown authors
"... In PAGE 2: ... The relative length of the nth segment compared to the first segment is determined using a parti- tioning series. Each protocol has a different series as shown in Table1 . On the other hand, HB divides each video into a Table 1: Segment Partitioning in Periodic Broadcasting Technique Partitioning Series... In PAGE 2: ... Both still require clients to receive data from all broadcast channels. Composite Techniques Catching uses a modified version of GDB (whose series is shown in Table1 ) to deliver the hot videos, but instead of making the client wait until the beginning of the next broad- cast time, the client receives the small missed portion by a patch. A client initially listens to one broadcast channel and its own patch, and then to two broadcast channels.... ..."

Table 2. We constructed eight different similarity modes by using the various techniques for including a new voxel to a segment. Static mode is optimal if the development of the similarity does not depend on the progress of the growing. Dynamic mode can fully compensate for the increases and decreases of the similarity between two voxels during the region growing process.

in ALSO AVAILABLE IN PRINTED FORMAT
by unknown authors 2001
"... In PAGE 76: ...We have build five synthetic similarity modes (S1, S2, S3, P1, and P2) based on our three similarity techniques. The relation between the techniques and the modes is shown in Table2 . The use of the dynamic similarity mode is one possibility in improving the region correctness.... ..."

Table 4: Symbols Used to Define the Retrieval Technique

in Data semantics for improving retrieval performance of digital news video systems
by G. Ahanger, T. D. C. Little 1999
"... In PAGE 6: ... 3 The Proposed Four-Step Hybrid Technique The four-step hybrid retrieval technique is based on establishing transitive relationships among segment transcripts and the use of annotated metadata. After introducing our terminology (symbols used throughout the paper are summarized in Table4 ), we describe the different types of metadata and how they are used to support the four-step process. 3.... ..."
Cited by 4

Table 1: Comparison Between Segmentation Techniques Segmentation Technique Information used in Segmentation Extends to N-D Method of Segmentation

in A Literature Review of Image Segmentation Techniques and Matting for the Purpose of Implementing “Grab-Cut”
by Matthew Marsh
"... In PAGE 6: ... Boykov and Jolly (2001a) use gray-scale histograms in order to model the intensities of the pixels in the image, however the Grab-Cut technique uses Gaussian mixture models in order to model the colour statistics of the image. Table1 shows a comparison between the various segmentation techniques with regard to the information they use to perform the segmentation, if the method can be extended from 2-D to N-D data, and the method that is employed in order to perform the segmentation. Segmentation techniques are used primarily for 2-D images, but some segmentation techniques can be extended to 3-D data (or volumes) and even N-D data.... ..."

Table 1. Comparison of scene segmentation techniques

in unknown title
by unknown authors
"... In PAGE 3: ... Then, we compared three techniques of scene segmentation in terms of the average number of scene units of each reference scene. As shown in Table1 , the A and AP techniques provide the high level video segmentation. It should be noted that the previous color-based technique has a problem of over- segmentation of video, which means the segmented scene units couldn apos;t present the semantics of the video effectively.... ..."

Table 1 Density of Xerogels Measured by Multiple Techniques

in Copyright(C)JCPDS-International Centre for Diffraction Data 2000, Advances in X-ray Analysis, Vol.42 590 Copyright(C)JCPDS-International Centre for Diffraction Data 2000, Advances in X-ray Analysis, Vol.42 590 THIN FILM DENSITY DETERMINATION BY MULTIPLE R
by D. Windover, E. Barnat, J. Y. Kim, M. Nielsen, T. -m. Lu, A. Kumar, H. Bakhru, C. Jin, S. L. Lee

Table 2. Comparison of wood density determined using three different techniques

in Spectra Of Mixed Pixels: Do They Represent The Actual Land Cover
by On The Ground, S. Mugisha A, J. Huising
"... In PAGE 5: ...166 4, there is no evidence to suggest that wood density is a useful criterion for spectral image segmentation. Table2 shows summary statistics of the five land cover categories derived from airborne and TM data. The results in Table 2 wood densities determined using three techniques: a) field estimates, b) visual interpretation of DABD, and c) 1 ha samples.... In PAGE 5: ... Table 2 shows summary statistics of the five land cover categories derived from airborne and TM data. The results in Table2 wood densities determined using three techniques: a) field estimates, b) visual interpretation of DABD, and c) 1 ha samples. The results shows that about 44% of the total cover patches (in the test site) are wood-grass mixtures represented by classes 201 and 202.... ..."

Table 2 shows the power analysis of different low power programmable cores with a generic multiplier. It is evident from the results that the power consumption of the combined core (combination of both block processing and segmentation techniques) has the lowest value (61% power saving). This saving is due to the maximum reduction in switching activity at multiplier input, due to the combination of both, block processing architecture and coefficient segmentation architecture. Because of this low switching activity in this architecture, the total power is 8mW and a power saving of 61% is achieved.

in Low Power Programmable FIR Filtering IP Cores Targeting System-on-a-Reprogrammable-Chip (SoRC)
by Muhammad Akhtar Khan, Abdul Hameed
"... In PAGE 4: ...1 Power Results Tables 2, 3 and 4 shows the power result of programmable low power FIR filter cores with three different types of multipliers. Table2 : Power analysis with generic multiplier ... ..."

Table 1: Details on line segment maps.

in Speeding Up Construction of Quadtrees for Spatial Indexing
by Gsli R. Hjaltason, Hanan Samet 1999
"... In PAGE 38: ... Using these data sets enables us to get a feel for how the quadtree loading methods scale up with map size on data sets with similar characteristics. Table1 provides details on the six line segment maps: the number of line segments, the average num- ber of q-edges per line segment, the file size of the input files (in KB), and the minimum and maximum number of nodes in the MBI B-trees representing the resulting PMR quadtrees. Recall that a q-edge is a piece of a line segment that intersects a leaf block.... In PAGE 51: ... This is in marked contrast to our quadtree PMR quadtree bulk-loading al- gorithm, which produces roughly the same space partitioning as dynamic insertions (the variation is due to different insertion order). Figure 33 shows the execution time performance of the two methods for bulk-loading R-trees for the data sets listed in Table1 relative to the execution time of QB-100 . The buffer-tree technique with R -tree partitioning ( B50 ) took 10-14 as much time as building the PMR quadtree.... ..."
Cited by 10

Table 4: Number of Misclassi ed pixels. Resolution 72 88 144 176 288 352

in MULTI RESOLUTION IMAGE SEGMENTATION FOR SCALABLE OBJECT-BASED WAVELET CODING
by Fardin Akhlaghian Tab, Alfred Mertins, Habibollah Danyali
"... In PAGE 5: ... For the proposed algorithm and the standard single-level technique, the segmentations for the different reso- lution levels are determined by downsampling the highest-level segmentations. The misclassi ed pixel numbers that occur when comparing the two scalable segmentation algorithms with the ground truth and are given in Table4... ..."
Results 1 - 10 of 81,686