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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: 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 II CHARACTER RECOGNITION RESULTS APPLYING THE CONVENTIONAL SEGMENTATION TECHNIQUE

in Conventional Vs. Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison
by M. Blumenstein, B. Verma

TABLE VI CHARACTER RECOGNITION RESULTS FOLLOWING THE NEURO- CONVENTIONAL SEGMENTATION TECHNIQUE

in Conventional Vs. Neuro-Conventional Segmentation Techniques for Handwriting Recognition: A Comparison
by M. Blumenstein, B. Verma

Table1. Statistical measures for assessing the quality of a segmentation technique.

in segmentation
by Marc Van Droogenbroeck, Olivier Barnich

Table 2: Summary of automatic segmentation techniques (the abbreviations are summarized in Table 1).

in unknown title
by unknown authors

Table 4. Segmentation: Intention based technique Segment Time Transcripts 3D modeling actions

in RUNNING HEAD: TANGIBLE USER INTERFACES AND SPATIAL COGNITION Corresponding Author’s Contact Information:
by Mi Jeong Kim, Mary Lou Maher, Mi Jeong Kim, Phd Student
"... In PAGE 16: ... Not only the contents of the verbal protocols but video recording of the 3D modeling activity were looked at to decide the start and end of a segment. Table4 shows the segmentations of the protocols excerpt from a TUI session, where a single segment ... ..."

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 1: Segment Partitioning in Periodic Broadcasting Technique Partitioning Series

in Workload-Aware Resource Sharing and Cache Management for Scalable Video Streaming
by Bashar Qudah, Nabil J. Sarhan 2007

Table 1. Overall segmentation accuracy of the patient data for the proposed technique.

in Carotid artery segmentation using and outlier immune 3D active shape models framework
by Karim Lekadir, Guang-zhong Yang 2006
"... In PAGE 7: ...plausible instance of the shape by the ASM. The accuracy of the proposed method for the luminal and vessel outer wall boundary as well as the volumetric results are sum- marized in Table1 , demonstrating the achievable accuracy in a clinical setting. Fig.... ..."
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